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BACKGROUND: The prevalence of type 1 diabetes (T1D) is increasing worldwide, with a much higher proportion of adult patients. However, achieving stable glycemic control is difficult in these patients. OBJECTIVE: After periodic implementation of structured education for patients with T1D through the Home and Self-Care Program, a pilot home health care project promoted by the Korean government, we evaluated the program's effects on glycemic control. METHODS: This study was conducted from April 2020 to March 2023. We analyzed 119 participants with T1D aged >15 years. Nursing and nutrition education were provided separately up to 4 times per year, with physician consultation up to 6 times per year. A distinguishing feature of this study compared with previous ones was the provision of remote support using a general-purpose smartphone communication app offered up to 12 times annually on an as-needed basis to enhance the continuity of in-person education effects. Patients were followed up on at average intervals of 3 months for up to 24 months. The primary end point was the mean difference in glycated hemoglobin (HbA1c) at each follow-up visit from baseline. For continuous glucose monitoring (CGM) users, CGM metrics were also evaluated. RESULTS: The mean HbA1c level of study participants was 8.6% at baseline (mean duration of T1D 10.02, SD 16.10 y). The HbA1c level reduction in participants who received at least 1 structured educational session went from 1.63% (SD 2.03%; P<.001; adjustment model=1.69%, 95% CI 1.24%-2.13% at the first follow-up visit) to 1.23% (SD 1.31%; P=.01; adjustment model=1.28%, 95% CI 0.78%-1.79% at the eighth follow-up visit). In the adjustment model, the actual mean HbA1c values were maintained between a minimum of 7.33% (95% CI 7.20%-7.46% at the first follow-up visit) and a maximum of 7.62% (95% CI 7.41%-7.82% at the sixth follow-up visit). Among CGM users, after at least 1 session, the mean time in the target range was maintained between 61.59% (adjusted model, 95% CI 58.14%-65.03% at the second follow-up visit) and 54.7% (95% CI 50.92%-58.48% at the eighth follow-up visit), consistently staying above 54.7% (corresponding to an HbA1c level of <7.6%). The mean time below the target range (TBR) also gradually improved to the recommended range (≤4% for TBR of <70 mg/dL and ≤1% for TBR of <54 mg/dL). CONCLUSIONS: The Home and Self-Care Program protocol for glycemic control in patients with T1D is effective, producing significant improvement immediately and long-term maintenance effects, including on CGM indexes.

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BACKGROUND: Prehabilitation has potential to improve outcomes in value-based care models. We examined the associations between receipt of prehabilitation (physical therapy [PT] services within 30 days preoperatively) and postoperative healthcare utilization in a national cohort of fee-for-service Medicare beneficiaries. METHODS: This retrospective cohort study used the 5% fee-for-service claims from the Medicare Limited Data Set to identify unilateral elective inpatient total hip arthroplasty (THA) procedures (n = 25,509) and total knee arthroplasty (TKA) procedures (n = 40,091) from January 1, 2016 to September 30, 2021. Associations between prehabilitation and postoperative healthcare utilization were analyzed in mixed-effects generalized linear models adjusting for patient-level and hospital-level factors. We report adjusted odds ratios (OR) or % differences. RESULTS: Prehabilitation (13.1% THA, 13.1% TKA) was not significantly associated with institutional post-acute care discharge, 30-day emergency department visits, or 90-day readmissions. For TKA, prehabilitation was significantly associated with decreased odds of an extended hospital length of stay (OR = 0.86, P = 0.02) and reduced length of stay in an institutional post-acute care facility (-5.71%, P = 0.004). In both THA and TKA, prehabilitation was associated with decreased use of 90-day home health physical and/or occupational therapy (THA: OR = 0.82, P = 0.001; TKA: OR = 0.67, P < 0.001). In contrast, prehabilitation in both cohorts was associated with increased odds of receiving any 90-day outpatient PT (THA: OR = 2.08, P < 0.001; TKA: OR = 2.48, P < 0.001) and an increased number of 90-day outpatient PT visits (THA: +4.04%, P = 0.01; TKA: +5.21%, P < 0.001). CONCLUSION: Prehabilitation was associated with some decreases in postoperative healthcare utilization, particularly for TKA. Associations of preoperative physical therapy with increased postoperative outpatient physical therapy may reflect variation in referral patterns or patient access. These results highlight the importance of continued research into the impact of prehabilitation on healthcare utilization, patient outcomes, and episode costs. Additionally, further research should identify which patients would benefit the most from prehabilitation to increase the value of care.

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OBJECTIVE: The purpose of this paper is to determine a claims-based definition of frontloaded home health physical therapy (HHPT) and examine the effect of frontloaded HHPT visits on all-cause 30-day hospital readmissions. METHODS: This study used a retrospective analysis of Medicare fee-for-service claims from older adults (≥65 years) in the National Health and Aging Trends Study (NHATS; 2011-2017) with ≥1 HHPT visit within 30 days of a hospitalization (n = 1344 hospitalizations; weighted n = 7,727,384). An exploratory analysis of home health claim distribution was conducted to determine definitions of frontloaded HHPT. Generalized linear models were then used to examine the relationship between hospital readmission and each definition of frontloading. RESULTS: Four definitions of frontloaded HHPT were identified: ≥2 HHPT visits in the first week after discharge; ≥3 visits in the first week; ≥4 visits in the first 2 weeks; and ≥ 5 visits in the first 2 weeks. The adjusted risk of readmission was lower for older adults receiving frontloaded HHPT in the first week: (risk ratio [RR] for ≥2 vs <2 visits = 0.57; 95% CI = 0.41-0.79; RR for ≥3 vs <3 visits = 0.39; 95% CI = 0.22-0.72). The reduction in risk of readmission was even greater for older adults receiving ≥4 versus <4 HHPT visits (RR = 0.32; 95% CI = 0.21-0.48) and ≥ 5 versus <5 HHPT visits (RR = 0.27; 95% CI = 0.14-0.50) within the first 2 weeks. The effect of HHPT frontloading was greater for patients hospitalized with surgical versus medical diagnoses and for patients with diagnoses targeted by the Hospital Readmissions Reduction Program. CONCLUSION: Frontloaded HHPT reduces 30-day hospital readmissions among Medicare beneficiaries. Additional research is needed to determine the optimal number of visits and those most likely to benefit from frontloaded HHPT. IMPACT: Frontloaded HHPT can be an effective approach for reducing 30-day hospital readmissions among Medicare beneficiaries.

This study found that providing home health physical therapist visits early and often after hospital discharge decreases the risk that patients will be readmitted over the next 30 days.

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PURPOSE: To examine the relationship between living arrangements and discharge disposition, and how this relationship differs by the rural or urban characteristics of the patient's residence among home health care patients with Alzheimer's disease and related dementia (ADRD). METHODS: This retrospective study used the 2019 Outcome and Assessment Information Set and the Master Beneficiary Summary File. Our study was based on 531,269 Medicare fee-for-service patients with ADRD. We used linear probability regression models to examine the relationship between discharge disposition (to the community vs. an institution) and living arrangements, including an interaction term for rural-urban residence. FINDINGS: Patients in rural areas (19.8%) were more likely to live alone than those in urban areas (15.2%). Our main results show that patients living at home with others (coefficient: -0.02, p-value < 0.001) or alone (coefficient: -0.03, p-value < 0.001) were less likely to be discharged to the community compared to patients who lived in congregate settings. Also, for patients with ADRD who lived in rural areas, living at home with others (rural*home with others; coefficient: -0.02, p-value < 0.001) or living alone (rural*home alone; coefficient: -0.03, p-value<0.001) were associated with additional lower probabilities of being discharged to their communities. CONCLUSIONS: A multidimensional approach considering living arrangements to support home health care patients with ADRD could be critical to achieving better health outcomes. Furthermore, implementing area-specific target interventions could be important for improving the care and health of patients with ADRD as well as reducing rural-urban disparities in discharge disposition.

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OBJECTIVES: We sought to describe national trends in hospitalization and post-acute care utilization rates in skilled nursing facilities (SNFs) and home health (HH) for both Medicare Advantage (MA) and Traditional Medicare (TM) beneficiaries, reaching up to the COVID-19 pandemic (2015-2019). DESIGN: Retrospective, observational using 100% sample of Medicare Provider Analysis and Review file (MedPAR), the Medicare Beneficiary Summary File, the Minimum Data Set (MDS), and the Outcome and Assessment Information Set (OASIS). SETTING AND PARTICIPANTS: Medicare beneficiaries aged 66 and older enrolled in MA or TM who were hospitalized and discharged alive. METHODS: We first calculated the proportions of MA and TM beneficiaries who were hospitalized and who used any post-acute care, as well as the total number of days of post-acute care used. We also calculated the size of the post-acute care network used by TM and MA beneficiaries within each hospital in our sample and the measured quality (star ratings) of the post-acute care providers used. RESULTS: We found hospitalizations, SNF stays, and HH stays were all decreasing over time in both populations. Although similar proportions of MA and TM beneficiaries received SNF or HH care, MA beneficiaries received fewer days. The largest difference we found was in the number of post-acute care providers used in TM and MA, with MA using far fewer; however, quality ratings were similar among post-acute care providers used in each program. CONCLUSIONS AND IMPLICATIONS: Together, these results suggest MA beneficiaries have fewer days in post-acute care, receive care from fewer providers of similar measured quality to TM, but have a similar number of days outside the hospital or SNF in the first 100 days after hospital discharge.

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We aimed to map tasks related to medication management and time consumption in Danish home health care. Nursing staff (n = 30) from five municipalities were followed during a 10-week period and tasks related to medication management, time consumption and information on citizens' medication were registered. A total of 269 courses were registered, including 163 (61%) home visits, 76 (28%) in-office courses, 29 (11%) in-clinic courses and 1 (0.4%) acute visit. Of defined categories related to medication management, 'record-keeping and communication' (62%, n = 167), 'dispensing' (48%, n = 129) and 'identification' (30%, n = 81) were most often performed. During half of courses (55%, n = 147), the nursing staff was interrupted at least one time. The median time spent on medication management was less than the time allocated in most of allocated time slots (82%), with a median excess time of 5.1 min (range 0.02-24 min). Citizens (n = 32) used a median of 11 (interquartile range [IQR] 9-13) regular medications and 2 (IQR 1-4) as-needed, and 69% (n = 22) used high-risk situation medications. In conclusion, employees in Danish home health care perform diverse medication-related tasks and are frequently interrupted in their work. Employees spend less time than allocated but do not fully solve all tasks according to best practice guidance.

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The Sudan virus disease outbreak in 2022 prompted the Denver Health High-Risk Infection Team (HITeam) to evaluate and implement novel strategies to respond to viral hemorrhagic fever (VHF) events. To improve the VHF response, HITeam members developed a virtual assessment model (VAM) for at-home evaluation of individuals who are suspected of having a VHF. The VAM incorporates aspects of care that would normally be rendered in a high-level isolation unit-including assessment and monitoring, specimen collection, provider consultation, patient and family teaching, and pharmaceutical intervention-into a mobile framework in which team members respond to a suspected case at the individual's home. Building this capability allows for more thorough assessment of a suspect case in the field, as well as the postponement of a decision about activation of the high-level isolation unit until more information is available. Development, testing, and implementation of the VAM required input from an interdisciplinary group of partners that demonstrated the ability of nurses, physicians, laboratorians, paramedics, emergency medical technicians, and public health personnel to integrate into 1 cohesive care team. The resulting model recenters VHF care on the patient by allowing the care team to gather critical information in an environment that is more comfortable for the suspect case while keeping communities safe and lowering exposure risks. The VAM has long-term sustainability implications for global VHF programs and provides solutions for broader challenges in healthcare by modeling cost-effective, patient-centered care within the highly nuanced subspecialty of special pathogen care.

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OBJECTIVES: This study examines the perspectives of key stakeholders in home health toward Medicare's Home Health Value Based Purchasing (HHVBP) program, piloted among home health agencies (HHAs) in 9 states from 2016 to 2021, and based on initial performance, was expanded to the remaining 41 (nonpilot) states in January 2023. DESIGN: We conducted semistructured interviews wherein we inquired participants' views toward and experiences with HHVBP. We used convenience and purposive sampling to obtain diversity in HHA size, geography, and quality. SETTING AND PARTICIPANTS: We conducted interviews from July 2022 to May 2023 with HHA leaders, staff, and clinicians, advocacy and trade organization leaders, and policy experts from pilot and nonpilot states. METHODS: We used thematic analysis to develop a codebook that included framework-derived, a priori, and inductive codes. We identified key themes and subthemes accordingly. RESULTS: Forty-seven stakeholders representing 25 unique organizations participated: 22 (47%) from pilot states and 25 (53%) from nonpilot states; of these, 24 (51%) were HHA leaders, 13 (28%) were organizational leaders, and 10 (21%) were clinicians; 26 (55%) were centered in the Northeast, 9 (19%) in the West, 7 (15%) had a national presence, and 5 (11%) were centered across the South. Four key themes emerged. There were (1) wide variations in awareness, understanding, and attitudes toward HHVBP regardless of pilot status or stakeholder type; (2) concerns about aspects of HHVBP, including consequences for HHAs and patients; (3) a range of strategies used by HHAs to address HHVBP; (4) other concurrent issues that HHAs were navigating alongside HHVBP. CONCLUSIONS AND IMPLICATIONS: Despite HHVBP's national implementation, awareness of and attitudes toward HHVBP varied across stakeholders from pilot and nonpilot states, as did efforts to address it. Although some viewed the policy favorably, others were concerned it could negatively impact HHAs and patients. Understanding the experiences of stakeholders is vital for illuminating the intended and unintended consequences of HHVBP policy.

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Home healthcare (HHC) enables patients to receive health services within their homes. Social determinants of health (SDOH) influence a patient's health and may disproportionately affect patients from racially and ethnically minoritized groups. This study describes differences in SDOH documentation in clinical notes among individuals from different racial or ethnic groups from one HHC agency in the northeastern United States. Compared to White patients, HHC episodes for patients across racially and ethnically minoritized groups had higher frequencies of SDOH documented. Further, our results suggest that race or ethnicity is significantly associated with SDOH documentation.

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BACKGROUND: Hospital readmission is an important indicator of inpatient care quality and a significant driver of increasing medical costs. Therefore, it is important to explore the effects of postdischarge information, particularly from home healthcare notes, on enhancing readmission prediction models. Despite the use of Natural Language Processing (NLP) and machine learning in prediction model development, current studies often overlook insights from home healthcare notes. OBJECTIVE: This study aimed to develop prediction models for 30-day readmissions using home healthcare notes and structured data. In addition, it explored the development of 14- and 180-day prediction models using variables in the 30-day model. DESIGN: A retrospective observational cohort study. SETTING(S): This study was conducted at Ajou University School of Medicine in South Korea. PARTICIPANTS: Data from electronic health records, encompassing demographic characteristics of 1819 participants, along with information on conditions, drug, and home healthcare, were utilized. METHODS: Two distinct models were developed for each prediction window (30-, 14-, 180-day): the traditional model, which utilized structured variables alone, and the common data model (CDM)-NLP model, which incorporated structured and topic variables extracted from home healthcare notes. BERTopic facilitated topic generation and risk probability, representing the likelihood of documents being assigned to specific topics. Feature selection involved experimenting with various algorithms. The best-performing algorithm, determined using the area under the receiver operating characteristic curve (AUROC), was used for model development. Model performance was assessed using various learning metrics including AUROC. RESULTS: Among 1819 patients, 251 (13.80 %) experienced 30-day readmission. The least absolute shrinkage and selection operator was used for feature extraction and model development. The 15 structured features were used in the traditional model. Moreover, five additional topic variables from the home healthcare notes were applied in the CDM-NLP model. The AUROC of the traditional model was 0.739 (95 % CI: 0.672-0.807). The AUROC of the CDM-NLP model was high at 0.824 (95 % CI: 0.768-0.880), which indicated an outstanding performance. The topics in the CDM-NLP model included emotional distress, daily living functions, nutrition, postoperative status, and cardiorespiratory issues. In extended prediction model development for 14- and 180-day readmissions, the CDM-NLP consistently outperformed the traditional model. CONCLUSIONS: This study developed effective prediction models using both structured and unstructured data, thereby emphasizing the significance of postdischarge information from home healthcare notes in readmission prediction.

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OBJECTIVES: To assess whether neighborhood socioeconomic status (SES) moderates the association between Alzheimer's disease and related dementias (ADRD) and successful discharge to the community. In addition, to explore whether the role of neighborhood SES on successful discharge for patients with ADRD varies by the severity of ADRD. DESIGN: This is a retrospective cohort study. SETTING AND PARTICIPANTS: Medicare Fee-for-service beneficiaries, aged 65 or older, who received home health care in 2019. METHODS: We used linear probability regression models with successful discharge to the community as the main outcome, and neighborhood SES and ADRD as independent variables. Also, we modified the Functional Assessment Staging Tool (FAST) to measure ADRD severity. RESULTS: Our study results show ADRD and residing in neighborhoods with lower socioeconomic conditions were independently associated with lower probabilities of successful discharge to the community. We also found that the differences in probabilities of remaining at home between patients with and without ADRD were larger among those in neighborhoods with lower SES (ADRD∗less disadvantaged neighborhood, coeff: -0.01, P < .001; ADRD∗more disadvantaged neighborhood, coeff: -0.02, P < .001; ADRD∗most disadvantaged neighborhood, coeff: 0.032, P < .001). Among patients with ADRD, patients with the most advanced ADRD were less likely to remain in their homes and community when living in neighborhoods with lower SES. CONCLUSIONS AND IMPLICATIONS: Our study results show that when patients with ADRD receiving home health care live in neighborhoods with lower SES, they face further challenges to remaining in their homes and community. Public health officials and community planners should consider using area-level interventions to improve care and health outcomes for patients with ADRD. Also, further research aimed at identifying the specific factors and resources influencing lower care quality and poorer health outcomes in socioeconomically disadvantaged neighborhoods, particularly for patients with ADRD, can provide valuable insights for the development and implementation of targeted interventions.

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The purpose of this study was to identify patient outcomes after pharmacist interventions in the home health care context using pharmaceutical care records accumulated during daily operations. We focused on 591 cases at Nakajima Pharmacy from April 2020 to December 2021, where dispensing fees were charged to prevent duplication of medication and unnecessary interactions of home patients (excluding those related to adjustment of ongoing medications). The study investigated the content and background of prescription changes, the follow-up rate, and patient outcomes. The most common circumstances that led to pharmacist intervention for homebound patients were symptom occurrence (uncontrolled symptom, new symptom, drug adverse event). Of the patients for whom pharmacist intervention was provided for symptoms, 72.8% received follow-up according to the pharmaceutical care records. Furthermore, 59.2% of patients with follow-up showed an improvement of their symptoms. In addition, many patients had their medications discontinued or the dosage reduced by the pharmacist despite stable symptoms. More than 90% of these patients showed no change in symptoms. Besides interventions associated with the occurrence of symptoms, many interventions related to medication adherence were found to result from the patient's physical condition, such as poor swallowing function. The results suggest that tracking pharmacy drug histories may help pharmacists to better understand the need for follow-up implementation and the changes in patient outcomes after interventions.

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BACKGROUND: This study, part of a multi-study program, aimed to identify a core set of cost-based quality and performance indicators using a modified Delphi research approach. Conceptually, this core set of cost-based indicators is intended for use within a broader health system performance framework for evaluating home care programming in Canada. METHODS: This study used findings from a recently published scoping review identifying 34 cost-focused home care program PQIs. A purposive and snowball technique was employed to recruit a national panel of system-level operational and content experts in home care. We collected data through progressive surveys and engagement sessions. In the first round of surveying, the panel scored each indicator on Importance, Actionable, and Interpretable criteria. The panel set the second round of ranking the remaining indicators' consensus criteria. The panel ranked by importance their top five indicators from operational and system perspectives. Indicators selected by over 50% of the panel were accepted as consensus. RESULTS: We identified 13 panellists. 12 completed the first round which identified that 30 met the predetermined inclusion criteria. Eight completed the ranking exercise, with one of the eight completing one of two components. The second round resulted in three PQIs meeting the consensus criteria: one operational and two systems-policy-focused. The PQIs: "Average cost per day per home care client," "Home care service cost (mean) per home care client 1y, 3y and 7y per health authority and provincially and nationally", and "Home care funding as a percent of overall health care expenditures." CONCLUSIONS: The findings from this study offer a crucial foundation for assessing operational and health system outcomes. Notably, this research pioneers identifying key cost-based PQIs through a national expert panel and modified Delphi methodology. This study contributes to the literature on PQIs for home care and provides a basis for future research and practice. These selected PQIs should be applied to future research to test their applicability and validity within home care programming and outcomes. Researchers should apply these selected PQIs in future studies to evaluate their applicability and validity within home care programming and outcomes.

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OBJECTIVES: To evaluated the home healthcare efficacy in managing tracheostomy patients at King Abdulaziz Medical City under the Ministry of National Guard Health Affairs. Home healthcare is care provided to patients in the convenience of their homes to ensure high-quality care based on healthcare providers' supervision. METHODS: This retrospective cohort study utilizing a non-probability consecutive sampling technique, including all available tracheal patients with no exclusion criteria, was carried out in Riyadh, Saudi Arabia, between January 2019 and June 2022. The collected data included patient demographic variables and respiratory settings (ventilation type, daily ventilation need, tracheostomy duration, and ventilator settings). The outcomes included mortality rate and therapeutic outcomes of tracheal management. RESULTS: Of the 183 patients in the study, the most common type of respiratory-related infection was pneumonia (53%). Unlike respiratory-related causes, The mortality rate of patients admitted to the intensive care unit that was unrelated to respiratory causes was statistically significant (57%) (p=0.003). The mortality rate of patients who used aerosol tracheal collars (34%) was markedly higher than mechanically ventilated patients (57%) (p=0.004). The mortality rate following discharge from HHC was 40%, and was higher among patients aged >70 years (47%) (p=0.04). CONCLUSION: Pneumonia was associated with the majority of ventilator-related infections and resulted in hospital readmissions. Ensuring proper practices and caregiver education is crucial to decrease the incidence of ventilator-related infections.

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The global prevalence of prediabetes is expected to reach 8.3% (587 million people) by 2045, with 70% of people with prediabetes developing diabetes during their lifetimes. We aimed to classify community-dwelling adults with a high risk for prediabetes based on prediabetes-related symptoms and to identify their characteristics, which might be factors associated with prediabetes. We analyzed homecare nursing records (n = 26,840) of 1628 patients aged over 20 years. Using a natural language processing algorithm, we classified each nursing episode as either low-risk or high-risk for prediabetes based on the detected number and category of prediabetes-symptom words. To identify differences between the risk groups, we employed t-tests, chi-square tests, and data visualization. Risk factors for prediabetes were identified using multiple logistic regression models with generalized estimating equations. A total of 3270 episodes (12.18%) were classified as potentially high-risk for prediabetes. There were significant differences in the personal, social, and clinical factors between groups. Results revealed that female sex, age, cancer coverage as part of homecare insurance coverage, and family caregivers were significantly associated with an increased risk of prediabetes. Although prediabetes is not a life-threatening disease, uncontrolled blood glucose can cause unfavorable outcomes for other major diseases. Thus, medical professionals should consider the associated symptoms and risk factors of prediabetes. Moreover, the proposed algorithm may support the detection of individuals at a high risk for prediabetes. Implementing this approach could facilitate proactive monitoring and early intervention, leading to reduced healthcare expenses and better health outcomes for community-dwelling adults.

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PURPOSE: Growing numbers of older adults need home health care, yhese services may be more difficult to access for rural Veterans, who represent one-third of Veterans Health Administration (VA) enrollees. Our objective was to examine whether home health use differs within VA based on rurality. METHODS: We examined national VA administrative data for 2019-2021 (January 1, 2019 to December 31, 2021) among Veterans ages ≥65 years. Using descriptive and multivariable analyses, we assessed whether rural versus urban Veterans differed in (1) the likelihood of using any home health and (2) for those who received ≥1 visit, number of visits received. RESULTS: Among home health users (n = 107,229, 33.1% rural), rural and urban Veterans were similar in age (77.0 vs. 77.2 years). Rural Veterans were less likely to be highly frail (38.9% rural vs. 40.4% urban) or diagnosed with dementia (13.5% vs. 17.6%). After adjusting for Veterans' characteristics, rural Veterans were more likely to receive any home health (odds ratio: 1.10; 95% confidence interval [CI]: 1.07, 1.13). Among Veterans who received ≥1 home health visit, rurality was associated with considerably fewer expected visits (incident rate ratio: 0.70; 95% CI: 0.68, 0.72). CONCLUSIONS: Although rural Veterans were more likely than urban Veterans to receive any home health services, they received considerably fewer home health visits. This difference may represent an access issue for rural Veterans. Future research is needed to identify reasons for these differences and develop strategies to ensure rural Veterans' care needs are equitability addressed.

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Considerable evidence exists regarding the role housing plays in the determination of health and well-being outcomes. Despite the scale of health concerns arising from housing considerations, there are very few economic analyses of housing programs that seek to improve health outcomes by addressing the physical infrastructure of the living environment. The NSW Housing for Health (HfH) program is an environmental health initiative funded and administered by NSW Health, that addresses health-related hardware in residential accommodation to ensure the home environment supports healthy living practices to ultimately improve health outcomes for residents. This study reviews the economic methods that have been applied to comparable programs and identifies relevant costs and benefits that should be addressed. Founded on the requirement from decision makers, and the insights from the review, the paper outlines a protocol for a cost-benefit analysis that accounts for the disparate health, social, economic and intangible benefits generated from the HfH program and the resources utilised to realise these outcomes.

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In a previous study, sepsis was noted as a diagnosis on the home health record only 4% of the time for 165,000 sepsis survivors transitioning from hospital to home health care in America. If sepsis and other conditions are not clearly documented in the transitional care record this can lead to unpreparedness, missed, care, and poor patient outcomes. Our implementation science study discovered a source of this problem regarding the sepsis documentation in 16 hospitals referring to five home care agencies. Together, researchers, hospital, and home care personnel developed and implemented two information technology solutions to address this deficit in seven hospitals. The automated method was more readily adopted and effective in improving information transfer between hospital and home health care.

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The use of healthcare information technology (HIT) is vital for storing and exchanging health information during patient transitions, playing a significant role in care coordination for sepsis survivors. The critical role of HIT was evident during the pre-implementation phase of a study to implement an evidence-based protocol supporting the timely transition of sepsis survivors to home health and outpatient care. Through 61 semi-structured interviews involving 91 stakeholders, over half of the 33 identified themes were related to HIT. Notably, electronic health record (EHR) alert systems led to over-capture and alarm fatigue. Efficient information transfer during HHC referral highlighted the need for improved EHR access. The study underscores HIT's importance and potential while emphasizing the need for collaborative policy and interface development to promote effective transitions in care.

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