Assessment Information Set Research Articles

PERMANENT TRANSITION OF HOMECARE RECIPIENTS WITH DEMENTIA TO NURSING HOMES IN NYS: RISK FACTORS

Objective. To determine predictors associated with the permanent transition to nursing homes among home care recipients with dementia. Methods. Retrospective cohort study (01/2007-12/2012). Study participants (n=48,338) include older adults age 65+ with dementia who received home health services in NYS for at least 2 months prior to permanent transition to nursing homes. Permanent transition is defined as discharge from a home care agency to a nursing home where participants must reside for 3+ months continuously. Two data sets were used—the Minimum Data Set (MDS) and Outcome and Assessment Information Set (OASIS). Multivariate logistic regression was used to quantify the association between predictors and permanent transition to nursing homes. Results: 29% of home care recipients with dementia made permanent transitions to nursing homes. The mean age was 83 years old ranging from 65-111. Among the permanent transition group, 47% were age 85+, 68% female, 75% white, 13% black, 9% Hispanic, 29% with both urinary & bowel incontinence, and 15% with depression. Risk factors associated with permanent transition included increasing age (OR=1.1; 95% CI 1.03-1.18); being white (OR =1.25; 95%CI 0.83-0.94) compared to black, urinary and bowel incontinence vs. continence (OR=1.46; 95% CI 1.37-1.56); depression vs. no depression (OR=1.2; 95% CI 1.11-1.25); hip fracture vs. no hip fracture (OR=2.63; 95% CI 2.27-3.05), and 3+ hospitalizations vs. no hospitalization (OR=3.02; 95% CI 2.77-3.29). Conclusion: Two potential modifiable risk factors related to permanent transition to nursing homes are depression and incontinence. Early diagnosis and treatment may delay or avert nursing home entry.

Validity of Race and Ethnicity Codes in Medicare Administrative Data Compared With Gold-standard Self-reported Race Collected During Routine Home Health Care Visits.

Misclassification of Medicare beneficiaries' race/ethnicity in administrative data sources is frequently overlooked and a limitation in health disparities research. To compare the validity of 2 race/ethnicity variables found in Medicare administrative data [enrollment database (EDB) and Research Triangle Institute (RTI) race] against a gold-standard source also available in the Medicare data warehouse: the self-reported race/ethnicity variable on the home health Outcome and Assessment Information Set (OASIS). Medicare beneficiaries over the age of 18 who received home health care in 2015 (N=4,243,090). Percent agreement, sensitivity, specificity, positive predictive value, and Cohen κ coefficient. The EDB and RTI race variable have high validity for black race and low validity for American Indian/Alaskan Native race. Although the RTI race variable has better validity than the EDB race variable for other races, κ values suggest room for future improvements in classification of whites (0.90), Hispanics (0.87), Asian/Pacific Islanders (0.77), and American Indian/Alaskan Natives (0.44). The status quo of using "good-enough for government" race/ethnicity variables contained in Medicare administrative data for minority health disparities research can be improved through the use of self-reported race/ethnicity data, available in the Medicare data warehouse. Health services and policy researchers should critically examine the source of race/ethnicity variables used in minority health and health disparities research. Future work to improve the accuracy of Medicare beneficiaries' race/ethnicity data should incorporate and augment the self-reported race/ethnicity data contained in assessment and survey data, available within the Medicare data warehouse.

Older Adult Factors Associated With Identified Need for Family Caregiver Assistance During Home Health Care

Family caregivers make important contributions to home health care for older adults, but knowledge of the specific roles they assume is lacking. We analyzed data from 1,758 community-dwelling Medicare beneficiaries aged 65+ receiving Medicare-funded home health care between 2011 and 2016, using linked National Health and Aging Trends Study and Outcomes and Assessment Information Set data. Most (86.7%) beneficiaries receiving home health care had an identified need for family caregiver assistance, and nearly 6 in 10 (57.9%) had identified need for caregiver assistance with five or more tasks. After examining significant associations between older adult characteristics and identified needs for caregiver assistance with specific tasks, we identified three profiles of older adults who demonstrate similar patterns of identified need for family caregiver assistance during home health. These profiles include: (1) older adults with greater functional impairment who more often had identified need for assistance with Instrumental Activities of Daily Living, advocacy, or Activities of Daily Living; (2) older adults with cognitive impairment who more often had identified need for assistance with medication administration or supervision; and (3) older adults with greater clinical severity who more often had identified need for assistance with medical procedures and equipment. Findings support calls to develop training interventions and strengthen the partnership between home health providers and family caregivers. These three profiles present a potential framework for the development of family caregiver training programs.

Quality of Home Health Agencies Serving Traditional Medicare vs Medicare Advantage Beneficiaries

Medicare Advantage (MA) enrollment is increasing, with one-third of Medicare beneficiaries currently selecting MA. Despite this growth, it is difficult to assess the quality of the health care professionals and organizations that serve MA beneficiaries or to compare them with health care professionals and organizations serving traditional Medicare (TM) beneficiaries. Elderly individuals served by home health agencies (HHAs) may be particularly susceptible to the negative outcomes associated with low-quality care. To compare the quality of HHAs that serve TM and MA beneficiaries. This cross-sectional, admission-level analysis used data from 4 391 980 home health admissions identified using the Outcome and Assessment Information Set (most commonly known as OASIS) admission assessments of Medicare beneficiaries in 2015 from Medicare-certified HHAs. A multinomial logistic regression model was used to assess whether an association existed between the Medicare plan type and HHA quality. The model was adjusted for patient demographics, acuity, and characteristics of the zip codes. Sensitivity analyses controlled for zip code fixed effects. The present analysis was conducted between October 2018 and March 2019. Home health users were classified as TM or MA beneficiaries using the Master Beneficiary Summary File. The MA beneficiaries were further classified as enrolled in a high- or low-quality MA plan on the basis of publicly reported MA star ratings. Quality of HHA derived from the publicly reported patient care star ratings: low quality (1.0-2.5 stars), average quality (3.0-3.5 stars), or high quality (≥4.0 stars). Of 4 391 980 admissions, most (75.5%) were for TM beneficiaries (mean [SD] age, 76.1 [12.2] years), with 16.6% of beneficiaries enrolled in high-quality MA plans (mean [SD] age, 77.8 [10.0] years) and 7.9% in low-quality MA plans (mean [SD] age, 74.4 [11.4] years). Individuals enrolled in low-rated MA plans were most likely to be nonwhite (percentages of nonwhite individuals in TM, 14.3%; in high-quality MA, 19.8%; and in low-quality MA, 36.5%) and dual Medicare-Medicaid eligible (percentages for dual eligible in TM, 30.5%; in high-quality MA, 19.5%; and in low-quality MA, 43.3%). Among TM beneficiaries, 30.4% received care from high-quality HHAs, whereas 17.0% received care from low-quality HHAs. Compared with TM beneficiaries, those in a low-quality MA plan were 3.0 percentage points (95% CI, 2.6%-3.4%) more likely to be treated by a low-quality HHA and 4.9 percentage points (95% CI, -5.4% to -4.3%) less likely to be treated by a high-quality HHA. The MA beneficiaries in high-quality plans were also less likely to receive care from high-quality vs low-quality HHAs (-2.8% [95% CI, -3.1% to -2.2%] vs 1.0% [95% CI, 0.7%-1.3%]). Compared with TM beneficiaries, MA beneficiaries residing in the same zip code enrolled in either high- or low-quality MA plans may receive treatment from lower-quality HHAs. Policy makers may consider incentivizing MA plans to include higher-quality HHAs in their networks and improving patient education regarding HHA quality.

Predicting Hospital Readmissions from Home Healthcare in Medicare Beneficiaries.

To use patient-level clinical variables to develop and validate a parsimonious model to predict hospital readmissions from home healthcare (HHC) in Medicare fee-for-service beneficiaries. Retrospective analysis using multivariable logistic regression and gradient boosting machine (GBM) learning to develop and validate a predictive model. A 5% national sample of patients, aged 65 years or older, with Medicare fee-for-service who received skilled HHC services within 5 days of hospital discharge in 2012 (n = 43 407). Multiple data sets were merged, including Medicare Outcome and Assessment Information Set, Home Health Claims, Medicare Provider Analysis and Review, and Master Beneficiary Summary Files, to extract patient-level variables from the first HHC visit after discharge and measure 30-day readmission outcomes. Among 43 407 patients with inpatient hospitalizations followed by HHC, 14.7% were readmitted within 30 days. Of the 53 candidate variables, seven remained in the final model as individually predictive of outcome: Elixhauser comorbidity index, index hospital length of stay, urinary catheter presence, patient status (ie, fragile health with high risk of complications or serious progressive condition), two or more hospitalizations in prior year, pressure injury risk or presence, and surgical wound presence. Of interest, surgical wounds, either from a total hip or total knee arthroplasty procedure or another surgical procedure, were associated with fewer readmissions. The optimism-corrected c-statistics for the full model and parsimonious model were 0.67 and 0.66, respectively, indicating fair discrimination. The Brier score for both models was 0.120, indicating good calibration. The GBM model identified similar predictive variables. Variables available to HHC clinicians at the first postdischarge HHC visit can predict readmission risk and inform care plans in HHC. Future analyses incorporating measures of social determinants of health, such as housing instability or social support, have the potential to enhance prediction of this outcome. J Am Geriatr Soc 67:2505-2510, 2019.

Using Machine Learning on Home Health Care Assessments to Predict Fall Risk.

Falls are the leading cause of injuries among older adults, particularly in the more vulnerable home health care (HHC) population. Existing standardized fall risk assessments often require supplemental data collection and tend to have low specificity. We applied a random forest algorithm on readily available HHC data from the mandated Outcomes and Assessment Information Set (OASIS) with over 100 items from 59,006 HHC patients to identify factors that predict and quantify fall risks. Our ultimate goal is to build clinical decision support for fall prevention. Our model achieves higher precision and balanced accuracy than the commonly used multifactorial Missouri Alliance for Home Care fall risk assessment. This is the first known attempt to determine fall risk factors from the extensive OASIS data from a large sample. Our quantitative prediction of fall risks can aid clinical discussions of risk factors and prevention strategies for lowering fall incidence.

Detecting Disparities in Medication Management Among Limited English Proficient and English Proficient Home Health Patients

According to the U.S. census Bureau, close to 20% of the U.S. population speaks a language other than English at home. Home health care (HHC) patients who speak English less than very well or have limited English proficiency (LEP) are at an increased risk for medication mismanagement and serious health consequences. The purpose of this study was to examine if there were differences in medication management between English-speaking patients and patients with LEP receiving HHC services. Data for this cross-sectional observation study were collected from 2010 to 2014. Medication management was measured by two items in the Centers for Medicare and Medicaid Services–mandated Outcomes Assessment Information Set (OASIS). All patients in the database who were taking medications and had a valid admission and discharge assessment from HHC were included in the analysis. Inverse probability of treatment weighting (IPTW) with a marginal structural model was used to address potential imbalances in observed patient characteristics when estimating the effect of having LEP or being an English-speaking HHC patient on changes in medication management over the course of a HHC episode. Estimates from marginal structural model with inverse probability weighting indicate that being LEP was associated with less improvement in medication management and increased likelihood of getting worse over the course of a HHC episode. This study is one of the first to demonstrate that patients with LEP experience disparities in medication management when compared to English-speaking patients in HHC.

Hospital Readmissions in Medicare Home Healthcare: What Are the Leading Risk Indicators?

A large sample of all 2011 home healthcare users in traditional Medicare was analyzed to identify the risk indicators at start-of-care that were associated with the highest probability of readmission (N = 597,493). Thirty-five patient characteristics found in Outcome and Assessment Information Set, claims history, or other administrative data were associated with a 30-day readmission risk 30% to 100% above the average in the sample. Most of these characteristics were associated with a 30-day readmission probability of approximately 1 in 5, and several were associated with a readmission probability approaching 1 in 10 during the first 7 days. A majority of the high-risk characteristics were uncommon, and they tended not to occur together, suggesting they can be useful flags for clinicians in prioritizing cases to reduce readmissions. Readmission risk grows most quickly early in the episode of care; typically one-third of the readmissions in the first 30 days occurred by the end of 7 days. High-risk markers at 7 and 30 days were substantially the same, illustrating the importance of the early days at home in influencing the 30-day outcome. A variety of domains and characteristics are represented among the highest-risk markers, suggesting challenges to home healthcare clinicians in maintaining the knowledge and skills needed to address readmission prevention. We suggest possible responses to this problem as strategies to consider, and also discuss implications for assessment practices in home healthcare.

1605-P: Profiling Risk among Sepsis Survivors with Diabetes in Home Care

Diabetes mellitus (DM) increases the risk of developing infectious complications, including sepsis. Little is known about sepsis survivors with DM. Overall, there are limited and conflicting information regarding outcomes of patients with diabetes after a hospitalization for sepsis. The purpose of this study was to profile the characteristics and outcomes for sepsis survivors with (n = 80,312) and without DM (n = 84,916). The sample included Medicare beneficiaries discharged from the hospital to home health care (HHC) after a sepsis admission between July 1, 2013 and June 30, 2014. We utilized Medicare administrative claims and the Outcome and Assessment Information Set Version C start of care assessments. The incidence of older adults with DM and sepsis in HHC was 48.6%; a much higher rate than the 20-30% reported in the general hospitalized population. Those with DM and sepsis had a higher proportion of 30-day rehospitalization (24.3% verse 20.8%, p < .001) and were more likely to have a prior sepsis admission (9.28% verse 3.35%, p < .001) than sepsis patients without DM. They had more comorbid conditions (5.19 versus 3.8, p<.001) including higher rates of depression, vision loss, obesity, hypertension, heart failure, pulmonary disease, and renal failure than non-DM sepsis survivors. Approximately 50% were taking injectable medications and only 12.8% of them were able to do so independently. For those who required caregiver assistance over 25% of caregivers reported needing additional training. Sepsis survivors with DM experience significantly higher readmission rates than non-DM patients. HHC clinicians should flag the sepsis survivor with DM as high risk and target interventions to manage the increased comorbid conditions, medication management, and caregiver training issues that may be contributing to the higher readmission rates. Disclosure C.R. Whitehouse: None. L. Jordan: None. K. Bowles: None. C.M. Murtaugh: None. Funding National Institute of Nursing Research (R01NR016014); Visiting Nurse Service of New York; Ruth L. Kirschstein National Research Service Award; University of Pennsylvania School of Nursing

Activities of Daily Living of Home Healthcare Patients

Activities of daily living (ADLs) is an important measure of the quality of care provided in home healthcare (HHC), but few studies describe the ADLs of HHC patients. The objectives of this study were to (1) describe the types and levels of ADL dependency among patients receiving home care, (2) identify the risk factors for severe ADL dependency at admission, and (3) identify the predictors of ADL improvement during an HHC stay. This was a secondary data analysis of a 5% random sample (n = 105,654) of the national Outcome and Assessment Information Set (OASIS-C) for the year 2013. The dependent variables were severe ADL dependency level at admission and ADL improvement from admission to discharge. About two thirds (65%) of the patients (n = 99,991) had severe ADL dependency (dependence in seven or more ADLs) at admission. Older age, female gender, and impaired decision-making were associated with severe ADL dependency on admission. Of the 105,654 patients, 58.1% (n = 89,997) experienced ADL improvement. ADL improvement was associated with increasing HHC length of stay, being female, and prior inpatient stay. Clinicians, policy makers, and agencies could focus on modifiable characteristics to achieve the goal of ADL improvement.

TCTAP A-105 Functional Status Among Patients with Heart Failure Receiving Home Health Care Services

Activities of daily living (ADL) and instrumental activities of daily living (IADL) are often used as indicators of a patient’s functional status. For example, the items of ADL and IADL are assessed using Outcome Assessment Information Set (OASIS), which is a system of electronic health records (

Mortality Risk in Homebound Older Adults Predicted From Routinely Collected Nursing Data.

Newer analytic approaches for developing predictive models provide a method of creating decision support to translate findings into practice. The aim of this study was to develop and validate a clinically interpretable predictive model for 12-month mortality risk among community-dwelling older adults. This is done by using routinely collected nursing assessment data to aide homecare nurses in identifying older adults who are at risk for decline, providing an opportunity to develop care plans that support patient and family goals for care. A retrospective secondary analysis of Medicare and Medicaid data of 635,590 Outcome and Assessment Information Set (OASIS-C) start-of-care assessments from January 1, 2012, to December 31, 2012, was linked to the Master Beneficiary Summary File (2012-2013) for date of death. The decision tree was benchmarked against gold standards for predictive modeling, logistic regression, and artificial neural network (ANN). The models underwent k-fold cross-validation and were compared using area under the curve (AUC) and other data science metrics, including Matthews correlation coefficient (MCC). Decision tree variables associated with 12-month mortality risk included OASIS items: age, (M1034) overall status, (M1800-M1890) activities of daily living total score, cancer, frailty, (M1410) oxygen, and (M2020) oral medication management. The final models had good discrimination: decision tree, AUC = .71, 95% confidence interval (CI) [.705, .712], sensitivity = .73, specificity = .58, MCC = .31; ANN, AUC = .74, 95% CI [.74, .74], sensitivity = .68, specificity = .68, MCC = .35; and logistic regression, AUC = .74, 95% CI [.735, .742], sensitivity = .64, specificity = .70, MCC = .35. The AUC and 95% CI for the decision tree are slightly less accurate than logistic regression and ANN; however, the decision tree was more accurate in detecting mortality. The OASIS data set was useful to predict 12-month mortality risk. The decision tree is an interpretable predictive model developed from routinely collected nursing data that may be incorporated into a decision support tool to identify older adults at risk for death.

Urinary tract infection-related hospitalization among older adults receiving home health care

Urinary tract infection (UTI)- related hospitalizations are a poor patient outcome in the rapidly growing home health care (HHC) arena that serves a predominantly elderly population. We examined the association between activities of daily living (ADL) and risk of UTI-related hospitalization among this population. Using a retrospective cohort design, we conducted a secondary data analysis of a 5% random sample of a national HHC dataset, the Outcome and Assessment Information Set for the year 2013. Andersen's Behavioral Model of Health Service Utilization was used as a guiding framework for statistical modeling. We used logistic regression to examine the association between UTI-related hospitalization and predisposing, enabling, or need factors. Among beneficiaries (n = 24,887) hospitalized in 2013, 1,133 had UTI-related hospitalizations. HHC patients with a UTI-related hospitalization were more likely to have severe ADL dependency, impaired decision making, and lower Charlson Comorbidity Index, than those with a non UTI-related hospitalization (P < .001). Risk factors for UTI-related hospitalization included female sex, (adjusted odds ratio [AOR], 1.44; 95% confidence interval [CI], 1.25-1.66), Medicaid recipient (AOR, 1.99; 95% CI, 1.09-3.64), severe ADL dependency (AOR, 1.50; 95% CI, 1.16-1.94), the presence of a caregiver to assist with supervision and safety (AOR, 1.26; 95% CI, 1.06-1.49), treatment for UTI in the previous 14 days (AOR, 2.85; 95% CI, 2.46-3.29), presence of a urinary catheter (AOR, 3.77; 95% CI, 2.98-4.77), and prior history of indwelling or suprapubic catheter (AOR, 1.44; 95% CI, 1.06-1.94). ADL dependency levels are a potentially modifiable risk factor for UTI-related hospitalization on admission to HHC. ADL dependency levels can inform clinical interventions to ameliorate ADL dependency in HHC settings and identify groups of patients at high risk for UTI-related hospitalization.

A Multidimensional Exercise Program in the Home for Older Adults Designed to Improve Function

The purpose of this study was to determine whether there was difference in the OASIS (Outcome and Assessment Information Set) activities of daily living (ADL) items scores between the Safe Strides program and Safe Strides plus Zōntago program. Eight home care offices were selected for this prospective randomized quality improvement study where Safe Strides versus Safe Strides plus Zōntago were compared. Rehabilitation outcome OASIS ADL change scores were analyzed for 112 total patient care episodes. The Safe Strides + Zōntago mean total ADL score change and ADL change per visit were higher than the Safe Strides group. Differences in ADL outcomes in older adults undergoing home care provided by physical therapists and physical therapist assistants in the Safe Strides exercise program versus the Safe Strides plus Zōntago program were noted. The Safe Strides + Zōntago compared with Safe Strides alone improved patient functional outcomes as measured by the OASIS.

A Call for Interfacing Measures of Instrumental Activities of Daily Living Across the Transition of Care

The ability to maintain functional status is an essential aspect of self-care for older adults. Instrumental activities of daily living (IADLs) decline within hours of hospitalization and are often overlooked, underassessed, and underreported. The aim of this integrative review was to examine and compare methods used to assess IADLs to determine the best measure for use across the care continuum, especially during transitions of care. A literature search without date restrictions was conducted using PubMed, Cumulative Index of Nursing and Allied Health Literature (CINAHL), and Embase databases. Twelve studies of moderate quality were included in this review. More than half (58%) of the studies utilized the Lawton and Brody Scale to measure IADL among home-based and hospitalized patients. Implementation of this scale as standard practice and sharing the results with healthcare providers would encourage continuity of care with the goal of supporting older adults aging in place and preventing rehospitalization. In turn, this communication process may improve the transition from the inpatient to home setting, where, since 1999, the Outcome and Assessment Information Set has been mandated.

Inverse Dose-Response Relationship Between Home Health Care Services and Rehospitalization in Older Adults

Objectives(1) To examine the impact of specific services [skilled nursing (SN), physical therapy (PT), occupational therapy (OT), and home health aide (HA)] in Medicare-certified home health care (HHC) on subsequent rehospitalization among older patients during a 60-day HHC episode and (2) to test the moderating effect of functional limitation on these services. DesignSecondary analysis of data from the Outcome and Assessment Information Set (OASIS) and HHC administrative records of a statewide not-for-profit HHC agency from January 1, 2016, to December 31, 2016. Setting and ParticipantsParticipants were ≥65 years old and were admitted to HHC within 48 hours of hospital discharge. MeasuresOutcome was time to rehospitalization during the 60-day HHC episode (ie, number of days). Independent variables were visit intensity (number of visits/week) of SN, PT, OT, and HA, respectively. Functional limitation was measured by a composite score generated from 9 OASIS items on physical function. Multivariate Cox Proportional hazard analyses were conducted. Subgroup analysis (high vs low functional limitation) was conducted to examine the moderating effect of functional limitation on specific HHC services. Ad hoc analysis was conducted to examine potential interaction between specific HHC services that were significantly related to rehospitalization. ResultsThe sample included 1377 participants, among whom 11.5% were rehospitalized during the 60-day HHC episode. At the threshold dose of 1 PT or 2 SN visits/week, higher visit intensity significantly reduced the hazard of rehospitalization in these patients by up to 82% for PT (2.30 visits/week; hazard ratio [HR] = 0.18, P value < .001) and 48% for SN visits (2.51 visits/week; HR = 0.52, P value < .05). The effect of PT on reducing the risk of rehospitalization was more pronounced in patients with low versus high functional limitation (2.30 visits/week, HR = 0.08 vs 0.24, both P < .001). SN was only effective in reducing the hazard of rehospitalization in the low functional limitation group (1.70 visits/week, HR = 0.41, P < .05; 2.51 visits/week, HR = 0.29, P < .05), but not in the high functional limitation group (P > .05 at all intensity levels). Visit intensity of HA or OT was not significantly related to rehospitalization. Conclusions/RelevanceAt a threshold of 1 PT visit or 2 SN visits/week, HHC lowered the risk of rehospitalization in older patients by up to 82% and 48%, respectively. Both PT and SN were more effective in avoiding rehospitalization in patients with low functional limitation than in those with high functional limitation. Older patients should receive enough HHC services (especially PT and SN) to avoid rehospitalizations with consideration of their functional limitation.

Early Post-Intensive Care Syndrome among Older Adult Sepsis Survivors Receiving Home Care.

New or worsened disabilities in functional, cognitive, or mental health following an intensive care unit (ICU) stay are referred to as post-intensive care syndrome (PICS). PICS has not been described in older adults receiving home care. Our aim was to examine the relationship between length of ICU stay and PICS among older adults receiving home care. We expected that patients in the ICU for 3 days or longer would demonstrate significantly more disability in all three domains on follow-up than those not in the ICU. A secondary aim was to identify patient characteristics increasing the odds of disability. Retrospective cohort study. Hospitalization for sepsis in the United States. A total of 21 520 Medicare patients receiving home care and reassessed a median of 1 day (interquartile range 1-2 d) after hospital discharge. PICS was defined as a decline or worsening in one or more of 16 indicators tested before and after hospitalization using OASIS (Home Health Outcome and Assessment Information Set) and Medicare claims data. The sample was predominantly female and white. All had sepsis, and most (81.8%) had severe sepsis. In adjusted models, an ICU stay of 3 days or longer, compared with no ICU stay, increased the odds of physical disability. Overall, the declines were modest and found in specific activities of daily living (16% for feeding and lower body dressing to 26% for oral medicine management). No changes were identified in cognition or mental health. Significant determinants of new or worsened physical disabilities were sepsis severity, older age, depression, frailty, and dementia. Older adults receiving home care who develop sepsis and are in an ICU for 3 days or longer are likely to develop new or worsened physical disabilities. Whether these disabilities remain after the early postdischarge phase requires further study. J Am Geriatr Soc 67:520-526, 2019.

Association Between the Rate of Diabetes and Quality of Patient Care in Home Health Agencies

The multitude of comorbidities and disabilities that are prevalent among diabetic patients make their care very challenging for providers. This, in turn, may have a negative effect on measures of patient satisfaction, quality, and outcomes. This study examines the correlation between diabetes ratio as a primary diagnosis in home health agencies (HHAs) with the Home Health Care Consumer Assessment of Healthcare Providers and Systems (HHCAHPS) survey and the Outcome and Assessment Information Set (OASIS) star ratings. Our result indicates that HHAs with a higher proportion of patients with diabetes have lower ratings in health outcomes (bathing, breathing, moving from the bed, moving around, and controlling pain). The association was stronger in the case of diabetic cases with complications.

PC-FACS

PC-FACS

Patient factors associated with the initiation of telehealth services among heart failure patients at home

ABSTRACTTelehealth is an intervention that can assist patients with heart failure to manage their symptoms at home. However, it is reported that between 24–70% of eligible patients do not receive telehealth. This study aimed to explore factors associated with the initiation of telehealth among home care patients with heart failure using the Outcome and Assessment Information Set data (N = 2,832). The findings indicate patients who received high-risk drugs education by visiting nurses had an 80% increase in the odds of receiving telehealth, and patients who received no assistance from caregivers had a 46% decrease in odds compared to those who were assisted at least daily.