Towards Building Decision Support Tools for Older Adults at Home: A Qualitative Analysis.

Older adults (and caregivers) face important health-related decisions which can have important consequences on their well-being, independence, and outcomes (e.g., where to live, how to stay safe, where to get care). There is a critical need for tools to help them make informed decisions that reflects what is most important to them. We report on a qualitative analysis of survey data collected from home care providers to inform the design and development of digital decision support tools for older adults.

A Protocol to Determine Circadian Phase by At-Home Salivary Dim Light Melatonin Onset Assessment.

Internal circadian phase assessment is increasingly acknowledged as a critical clinical tool for the diagnosis, monitoring, and treatment of circadian rhythm sleep-wake disorders and for investigating circadian timing in other medical disorders. The widespread use of in-laboratory circadian phase assessments in routine practice has been limited, most likely because circadian phase assessment is not required by formal diagnostic nosologies, and is not generally covered by insurance. At-home assessment of salivary dim light melatonin onset (DLMO, a validated circadian phase marker) is an increasingly accepted approach to assess circadian phase. This approach may help meet the increased demand for assessments and has the advantages of lower cost and greater patient convenience. We reviewed the literature describing at-home salivary DLMO assessment methods and identified factors deemed to be important to successful implementation. Here, we provide specific protocol recommendations for conducting at-home salivary DLMO assessments to facilitate a standardized approach for clinical and research purposes. Key factors include control of lighting, sampling rate, and timing, and measures of patient compliance. We include findings from implementation of an optimization algorithm to determine the most efficient number and timing of samples in patients with Delayed Sleep-Wake Phase Disorder. We also provide recommendations for assay methods and interpretation. Providing definitive criteria for each factor, along with detailed instructions for protocol implementation, will enable more widespread adoption of at-home circadian phase assessments as a standardized clinical diagnostic, monitoring, and treatment tool.

Hospital at home worldwide: Program and clinician characteristics from the World Hospital at Home Congress survey.

BACKGROUND: Hospital at home (HaH) delivers hospital-level care to acutely ill patients at home as a substitute for brick-and-mortar hospital care. The clinician and program characteristics of HaH programs worldwide are relatively unknown. We sought to describe the world's HaH clinicians and their programs' characteristics. METHODS: We analyzed a survey administered to all attendees of the 2023 World Hospital at Home Congress. Clinician characteristics included age, years worked in HaH, profession, burnout, and experience. Program characteristics included location, daily census, types of care delivery, and clinical capabilities. RESULTS: Of 670 attendees, about 305 were clinicians and 129 responded (42% response rate for clinicians). The majority of clinicians were 30-49 years old (65.1%), new to the field (70.5% worked less than 10 years), and part-time (18% dedicated >74% effort to HaH). Clinicians reported overall satisfaction with their job and low burnout. About half of programs were in Europe (52.1%), newly operational (44.7% less than 5 years), mostly operated in urban environments (87.2%), and mostly had a daily census of less than 25 patients (62.8%). Most programs operated 7-days per week (88.3%), performed intermittent or continuous remote monitoring (81.4%), used video communication (63.8%), and had some advanced capabilities such as in-home imaging (47.9%) and advanced procedures (23.4%). Visit frequencies to the patient's home were variable: most programs had physicians visit the home, nearly all had nurses visit the home, and fewer performed virtual visits. CONCLUSIONS: HaH clinicians and programs have significant similarities but also a fair number of divergent practices, much like brick-and-mortar hospital care. Further standardization of the care model will help to unify the field across the globe.

Incorporating patient, caregiver, and provider perspectives in the co-design of an app to guide Hospital at Home admission decisions: a qualitative analysis.

Objective: Hospital at Home (HaH) programs currently lack decision support tools to help efficiently navigate the complex decision-making process surrounding HaH as a care option. We assessed user needs and perspectives to guide early prototyping and co-creation of 4PACS (Partnering Patients and Providers for Personalized Acute Care Selection), a decision support app to help patients make an informed decision when presented with discrete hospitalization options. Methods: From December 2021 to January 2022, we conducted semi-structured interviews via telephone with patients and caregivers recruited from Atrium Health's HaH program and physicians and a nurse with experience referring patients to HaH. Interviews were evaluated using thematic analysis. The findings were synthesized to create illustrative user descriptions to aid 4PACS development. Results: In total, 12 stakeholders participated (3 patients, 2 caregivers, 7 providers [physicians/nurse]). We identified 4 primary themes: attitudes about HaH; 4PACS app content and information needs; barriers to 4PACS implementation; and facilitators to 4PACS implementation. We characterized 3 user descriptions (one per stakeholder group) to support 4PACS design decisions. User needs included patient selection criteria, clear program details, and descriptions of HaH components to inform care expectations. Implementation barriers included conflict between app recommendations and clinical judgement, inability to adequately represent patient-risk profile, and provider burden. Implementation facilitators included ease of use, auto-populating features, and appropriate health literacy. Conclusions: The findings indicate important information gaps and user needs to help inform 4PACS design and barriers and facilitators to implementing 4PACS in the decision-making process of choosing between hospital-level care options.

A stepped wedge cluster randomized trial to evaluate the effectiveness of a multisite family caregiver skills training program.

OBJECTIVE: To assess the effects of an evidence-based family caregiver training program (implementation of Helping Invested Families Improve Veteran Experiences Study [iHI-FIVES]) in the Veterans Affairs healthcare system on Veteran days not at home and family caregiver well-being. DATA SOURCES AND STUDY SETTING: Participants included Veterans referred to home- and community-based services with an identified caregiver across 8 medical centers and confirmed family caregivers of eligible Veterans. STUDY DESIGN: In a stepped wedge cluster randomized trial, sites were randomized to a 6-month time interval for starting iHI-FIVES and received standardized implementation support. The primary outcome, number of Veteran "days not at home," and secondary outcomes, changes over 3 months in measures of caregiver well-being, were compared between pre- and post-iHI-FIVES intervals using generalized linear models including covariates. DATA COLLECTION/EXTRACTION METHODS: Patient data were extracted from the electronic health record. Caregiver data were collected from 2 telephone-based surveys. PRINCIPAL FINDINGS: Overall, n = 898 eligible Veterans were identified across pre-iHI-FIVES (n = 327) and post-iHI-FIVES intervals (n = 571). Just under one fifth (17%) of Veterans in post-iHI-FIVES intervals had a caregiver enroll in iHI-FIVES. Veteran and caregiver demographics in pre-iHI-FIVES intervals were similar to those in post-iHI-FIVES intervals. In adjusted models, the estimated rate of days not at home over 6-months was 42% lower (rate ratio = 0.58 [95% confidence interval: 0.31-1.09; p = 0.09]) post-iHI-FIVES compared with pre-iHI-FIVES. The estimated mean days not at home over a 6-month period was 13.0 days pre-iHI-FIVES and 7.5 post-iHI-FIVES. There were no differences between pre- and post-iHI-FIVES in change over 3 months in caregiver well-being measures. CONCLUSIONS: Reducing days not at home is consistent with effectiveness because more time at home increases quality of life. In this study, after adjusting for Veteran characteristics, we did not find evidence that implementation of a caregiver training program yielded a reduction in Veteran's days not at home.

What Radio Waves Tell Us about Sleep!

The ability to assess sleep at home, capture sleep stages, and detect the occurrence of apnea (without on-body sensors) simply by analyzing the radio waves bouncing off people's bodies while they sleep is quite powerful. Such a capability would allow for longitudinal data collection in patients' homes, informing our understanding of sleep and its interaction with various diseases and their therapeutic responses, both in clinical trials and routine care. In this article, we develop an advanced machine learning algorithm for passively monitoring sleep and nocturnal breathing from radio waves reflected off people while asleep. Validation results in comparison with the gold standard (i.e., polysomnography) (n=880) demonstrate that the model captures the sleep hypnogram (with an accuracy of 80.5% for 30-second epochs categorized into Wake, Light Sleep, Deep Sleep, or REM), detects sleep apnea (AUROC = 0.89), and measures the patient's Apnea-Hypopnea Index (ICC=0.90; 95% CI = [0.88, 0.91]). Notably, the model exhibits equitable performance across race, sex, and age. Moreover, the model uncovers informative interactions between sleep stages and a range of diseases including neurological, psychiatric, cardiovascular, and immunological disorders. These findings not only hold promise for clinical practice and interventional trials but also underscore the significance of sleep as a fundamental component in understanding and managing various diseases.

Continuous Temperature Telemonitoring of Patients with COVID-19 and Other Infectious Diseases Treated in Hospital-at-Home: Viture® System Validation.

Body temperature must be monitored in patients receiving Hospital-at-Home (HaH) care for COVID-19 and other infectious diseases. Continuous temperature telemonitoring (CTT) detects fever and patient deterioration early, facilitating decision-making. We performed a validation clinical study assessing the safety, comfort, and impact on healthcare practice of Viture®, a CTT system, compared with a standard digital axillary thermometer in 208 patients with COVID-19 and other infectious diseases treated in HaH at the Navarra University Hospital (HUN). Overall, 3258 pairs of measurements showed a clinical bias of -0.02 °C with limits of agreement of -0.96/+0.92 °C, a 95% acceptance rate, and a mean absolute deviation of 0.36 (SD 0.30) °C. Viture® detected 3 times more febrile episodes and revealed fever in 50% more patients compared with spot measurements. Febrile episodes were detected 7.23 h (mean) earlier and modified the diagnostic and/or therapeutic approach in 43.2% of patients. Viture® was validated for use in a clinical setting and was more effective in detecting febrile episodes than conventional methods.

Transforming Health Care Landscapes: The Lever of Radiology Research and Innovation on Emerging Markets Poised for Aggressive Growth.

Advances in radiology are crucial not only to the future of the field but to medicine as a whole. Here, we present three emerging areas of medicine that are poised to change how health care is delivered-hospital at home, artificial intelligence, and precision medicine-and illustrate how advances in radiological tools and technologies are helping to fuel the growth of these markets in the United States and across the globe.

Association between days spent at home and functional status and health among persons living with dementia.

BACKGROUND: Many persons living with dementias (PLWD) prefer to remain at home as long as possible, and days spent at home (DAH)-defined as the time an individual spends outside of healthcare facilities-has emerged as a person-centred outcome measure in this population. We examined the association between DAH and functional status and health among PLWD. METHODS: Utilizing a nationally representative cohort of individuals age 65 and older in the United States with dementia from the 2010-2018 Health and Retirement Study (HRS), we assessed the relationship between an ordinal categorical DAH variable and number of activities of daily living (ADLs) (range 0-10; 10 being independent), mobility (0-5; 5 being mobile), and self-rated health (SRH) (0-4; 4 being excellent), controlling for patient characteristics. DAH was defined as the number of self-reported days spent outside a hospital or nursing home in the time between survey waves, typically 730 days. RESULTS: We identified 3002 participants (4192 observations, average 1.4 observations per participant). The mean DAH was 704.4 days (SD 10.8 days) and 64.9% spent all days at home (i.e. 730 days). A 2-week decrease in DAH was associated with a lower ADL score by 0.32 points (95% confidence internal [CI]: 0.24-0.40, P-for-trend<0.001), a lower mobility score by 0.18 points (95% CI: 0.13-0.22, P-for-trend<0.001), and a lower SRH by 0.05 points (95% CI: 0.02-0.08, P-for-trend<0.001). CONCLUSION: We demonstrate that DAH is positively associated with important patient-reported outcomes among the dementia population, strengthening the argument for considering DAH as a meaningful outcome measure for PLWD.

Home-based advanced care is a solution to quality health care in rural Taiwan: Lessons learned during the COVID-19 pandemic.

BACKGROUND/PURPOSE: The integrated home-based medical care (iHBMC) program has been implemented by the Taiwanese government since 2016. The pandemic of coronavirus disease 2019 (COVID-19) accelerated the shift from hospital-based to community-based healthcare, with a special focus on advanced home care for frail older adults. This study focuses on home-based advanced care, such as hospital at home (HaH), aiming to explore the feasibility and resilience of HaH within a home-based medical care model in a rural community in Taiwan. METHODS: We conducted a retrospective review of medical records from February 2020 to August 2022. Two clinical professionals reviewed and abstracted data from the electronic medical records of 189 patients receiving home healthcare during the COVID-19 pandemic. The HaH event was calculated if patients had any acute infection and received treatment at home. RESULTS: A total of 62 HaH events occurred during 2020-2022 and the average HaH events per person was 1.4. In these events, the top reason for patients receiving HaH was pneumonia, followed by urinary tract infection, soft tissue infection, and sepsis. 77.4% of patients completed the HaH treatment and did not experience any recurrent acute infections in the 30-day follow-up. CONCLUSION: Different forms of home healthcare enhance the resilience of medical care provision in rural areas. As Taiwan approaches a hyper-aged society by 2025, it is crucial that National Health Insurance policies support various home-based care models that address transportation issues and maintain high care standards in underserved rural areas.

The design elements of outpatient geriatric rehabilitation from patient, healthcare professional, and organizational perspective; a qualitative study.

PURPOSE: To gain a rich understanding of the experiences and opinions of patients, healthcare professionals, and policymakers regarding the design of OGR with structure, process, environment, and outcome components. METHODS: Qualitative research based on the constructive grounded theory approach is performed. Semi-structured interviews were conducted with patients who received OGR (n = 13), two focus groups with healthcare professionals (n = 13), and one focus group with policymakers (n = 4). The Post-acute Care Rehabilitation quality framework was used as a theoretical background in all research steps. RESULTS: The data analysis of all perspectives resulted in seven themes: the outcome of OGR focuses on the patient's independence and regaining control over their functioning at home. Essential process elements are a patient-oriented network, a well-coordinated dedicated team at home, and blended eHealth applications. Additionally, closer cooperation in integrated care and refinement regarding financial, time-management, and technological challenges is needed with implementation into a permanent structure. All steps should be influenced by the stimulating aspect of the physical and social rehabilitation environment. CONCLUSION: The three perspectives generally complement each other to regain patients' quality of life and autonomy. This study demonstrates an overview of the building blocks that can be used in developing and designing an OGR trajectory.

There's a growing preference for providing geriatric rehabilitation in an outpatient setting at the patients' home (called outpatient geriatric rehabilitation), but little is known about the content, efficiency, and quality assurance of outpatient geriatric rehabilitation.The key elements for the outpatient geriatric rehabilitation framework consist of a specialized geriatric rehabilitation dedicated multidisciplinary team, patient-centered blended eHealth applications, collaboration with integrated care, especially in community care nursing, and physical and social rehabilitation environments.The outpatient geriatric rehabilitation design framework, which emerged from the thematic analysis, offers valuable insights, and can support healthcare professionals and policymakers to establish an effective rehabilitation pathway.

Probabilistic Estimation of Cadence and Walking Speed From Floor Vibrations.

OBJECTIVE: This research aims to extract human gait parameters from floor vibrations. The proposed approach provides an innovative methodology on occupant activity, contributing to a broader understanding of how human movements interact within their built environment. METHODS AND PROCEDURES: A multilevel probabilistic model was developed to estimate cadence and walking speed through the analysis of floor vibrations induced by walking. The model addresses challenges related to missing or incomplete information in the floor acceleration signals. Following the Bayesian Analysis Reporting Guidelines (BARG) for reproducibility, the model was evaluated through twenty-seven walking experiments, capturing floor vibration and data from Ambulatory Parkinson's Disease Monitoring (APDM) wearable sensors. The model was tested in a real-time implementation where ten individuals were recorded walking at their own selected pace. RESULTS: Using a rigorous combined decision criteria of 95% high posterior density (HPD) and the Range of Practical Equivalence (ROPE) following BARG, the results demonstrate satisfactory alignment between estimations and target values for practical purposes. Notably, with over 90% of the 95% HPD falling within the region of practical equivalence, there is a solid basis for accepting the estimations as probabilistically aligned with the estimations using the APDM sensors and video recordings. CONCLUSION: This research validates the probabilistic multilevel model in estimating cadence and walking speed by analyzing floor vibrations, demonstrating its satisfactory comparability with established technologies such as APDM sensors and video recordings. The close alignment between the estimations and target values emphasizes the approach's efficacy. The proposed model effectively tackles prevalent challenges associated with missing or incomplete data in real-world scenarios, enhancing the accuracy of gait parameter estimations derived from floor vibrations. CLINICAL IMPACT: Extracting gait parameters from floor vibrations could provide a non-intrusive and continuous means of monitoring an individual's gait, offering valuable insights into mobility and potential indicators of neurological conditions. The implications of this research extend to the development of advanced gait analysis tools, offering new perspectives on assessing and understanding walking patterns for improved diagnostics and personalized healthcare.Clinical and Translational Impact Statement: This manuscript introduces an innovative approach for unattended gait assessments with potentially significant implications for clinical decision-making. By utilizing floor vibrations to estimate cadence and walking speed, the technology can provide clinicians with valuable insights into their patients' mobility and functional abilities in real-life settings. The strategic installation of accelerometers beneath the flooring of homes or care facilities allows for uninterrupted daily activities during these assessments, reducing the reliance on specialized clinical environments. This technology enables continuous monitoring of gait patterns over time and has the potential for integration into healthcare platforms. Such integration can enhance remote monitoring, leading to timely interventions and personalized care plans, ultimately improving clinical outcomes. The probabilistic nature of our model enables uncertainty quantification in the estimated parameters, providing clinicians with a nuanced understanding of data reliability.

Ambulatory models for autologous stem-cell transplantation: a systematic review of the health impact.

Autologous stem-cell transplantation (ASCT) is the standard of care for the management of multiple myeloma and has a well-established role in the treatment of some types of lymphoma. Over the last decades, the number of ASCT performed has increased significantly, leading to elevated pressure and cost for healthcare services. Conventional model of ASCT includes the admission of patients to a specialized Transplant Unit at any stage of the procedure. To optimize healthcare provision, ambulatory (outpatient/at-home) setting should be the focus moving forward. Thus, ambulatory ASCT model permits reducing average hospital stays and pressures on healthcare services, with significant cost-saving benefits and high degree of patient and caregiver satisfaction. In addition, it facilitates the bed resource for other complex procedures such as allografts or CAR-T cell therapy. The aim of this systematic review is to document the health impact, feasibility and safety of the outpatient/at-home ASCT models, which are increasingly being applied around the world.

The heterogeneous impact of population mobility on the influent characteristics of wastewater treatment facilities.

Improving the resilience of wastewater treatment facilities (WWTFs) has never been more important with rising risks of disasters under climate change. Beyond physical damages, non-physical shocks induced by disasters warrant attention. Human mobility is a vital mediator in transferring the stresses from extreme events into tangible challenges for urban sewage systems by reshaping influent characteristics. However, the impact path remains inadequately explored. Leveraging the stay-at-home orders during the COVID-19 pandemic as a natural experiment, this study aims to quantify and interpret the heterogeneous impacts of mobility reduction on the influent characteristics of WWTFs with different socio-economic, infrastructural, and climatic conditions. To achieve this goal, we developed a research framework integrating causal inference and interpretable machine learning techniques. Based on the empirical data from China, we find that 79.1% of the studied WWTFs, typically located in cities with well-developed drainage infrastructures and low per capita water usage, exhibited resilience against drastic mobility reduction. In contrast, 20.9% of the studied WWTFs displayed significant variations in influent characteristics. Large-capacity WWTFs in subtropical regions encountered challenges with low-load operations, and small-capacity facilities in suburban areas grappled with nutrient imbalances. This study provides valuable insights to equip WWTFs in anticipating and adapting potential variations in influent characteristics triggered by mobility reduction.

The association between social risks and days at home for older veterans.

BACKGROUND: Many health systems are trying to support the ability of older adults to remain in their homes for as long as possible. Little is known about the relationship between patient-reported social risks and length of time spent at home. We assessed how social risks were associated with days at home for a cohort of older Veterans at high risk for hospitalization and mortality. METHODS: A prospective cross-sectional study using a 2018 survey of 3479 high-risk Veterans aged ≥65 linked to Veterans Health Administration data. Social risks included measures of social resources (i.e., no partner present, low social support), material resources (i.e., not employed, financial strain, medication insecurity, food insecurity, and transportation barriers), and personal resources (i.e., low medical literacy and less than high school education). We estimated how social risks were associated with days at home, defined as the number of days spent outside inpatient, long-term care, observation, or emergency department settings over a 12-month period, using a negative binomial regression model. RESULTS: Not having a partner, not being employed, experiencing transportation barriers, and low medical literacy were respectively associated with 2.57, 3.18, 3.39, and 6.14 fewer days at home (i.e., 27% more facility days, 95% confidence interval [CI] 8%-50%; 42% more facility days, 95% CI 7%-89%; 34% more facility days, 95% CI 7%-68%; and 63% more facility days, 95% CI 27%-109%). Experiencing food insecurity was associated with 2.62 more days at home (i.e., 24% fewer facility days, 95% CI 3%-59%). CONCLUSIONS: Findings suggest that screening older Veterans at high risk of community exit for social risks (i.e., social support, material resources, and medical literacy) may help identify patients likely to benefit from home- and community-based health and social services that facilitate remaining in home settings. Future research should focus on understanding the mechanisms by which these associations occur.

Contraceptive efficacy: Determining the threshold for effective suppression based on sperm concentration, motility, and morphology.

INTRODCTION: Human spermatogenesis is a complex process that transforms spermatogonial stem cells through mitosis and meiosis to spermatozoa. Testosterone is the key regulator of the terminal stages of meiosis, adherence of spermatids to Sertoli cells, and spermiation. Follicle-stimulating hormone (FSH) may be required for early spermatogenesis and is important for maintaining normal spermatogenesis in men. Hormonal contraception suppresses FSH, luteinizing hormone, and intratesticular testosterone concentration, resulting in marked suppression of sperm output. RESULTS: Clinical trials using testosterone alone or testosterone plus progestin demonstrate that sustained suppression of sperm concentration to ≤1 million/mL is sufficient to prevent pregnancy in the female partner. New agents that target spermatogenesis could use this as a target for contraceptive efficacy while others that block sperm function or transport may require a lower threshold. When sperm concentrations are suppressed to such low levels, measurement of sperm motility and morphology is technically difficult and unnecessary. With current data from fertile and infertile men, it is not possible to establish a lower limit of sperm motility or percent normal morphology that equates to the prevention of conception. New compounds that decrease sperm motility or alter sperm morphology may need to demonstrate a complete absence of sperm motility or altered morphology in all spermatozoa in the ejaculate. Sperm function tests may be useful depending on the mechanism of action of each new compound. CONCLUSION: Monitoring of sperm surrogate markers to ensure effective contraception relies on laboratories experienced in semen analyses. The development of at-home tests to assess sperm parameters has progressed rapidly. Some tests have been assessed in clinical trials and approved by regulatory agencies for at-home use for fertility assessment. However, caution must be exercised in using these tests as many have not been rigorously validated against semen parameters measured in laboratories by trained technologists using standardized tests defined in the World Health Organization Semen Manual.

What Keeps the Family Caregiver Motivated to Care for Their Dying Relative at Home? A Brief Report of a Qualitative Interview Study.

Background: Dying at home poses many challenges for family carers and is particularly distressing for those with limited social support. In addition to financial hardship, this perceived burden may be a deciding factor in providing care at home. Aims: To explore what motivates people to provide care at home until death. Methods: Qualitative interviews with 43 family carers of deceased patients about factors enabling death at home. Interviews were audio-recorded, transcribed verbatim, and analyzed using content analysis. Results: Participants who rated their end-of-life experience positively reported that they particularly benefited from encouraging feedback and gratitude from their dying loved ones, as well as appraisal support. It takes courage to care for someone at home and to feel responsible for them. These themes made the participants' home care efforts meaningful, gave them confidence in what they were doing and helped maintain their motivation to care. Conclusion: Encouraging feedback and appraisal support are both minimally invasive techniques with maximum impact for continuing care at home.

Home-First or Hospital-First? A Propensity Score-Weighted Retrospective Cohort Study.

OBJECTIVES: This study aimed to compare clinical and utilization outcomes between home-first and hospital-first models of care in the operation of a hospital-at-home (HaH) program. DESIGN: This is a retrospective cohort study in which the primary outcome was a composite of oxygenation, intensive care unit admission, and all-cause mortality and the primary utilization outcome was length of stay (hospital and home bed days). SETTINGS AND PARTICIPANTS: The study sample included 1025 patients with COVID-19 admitted to an HaH program in Singapore from September 23, 2021, to February 29, 2022. METHODS: Propensity score weighting and regression analysis were used to adjust for confounding between both groups. RESULTS: There was no significant difference in the odds of occurrence of the primary outcome between the home-first and hospital-first groups (OR, 1.17; 95% CI, 0.44-3.10). Home-first patients had a shorter length of stay by an average of 2.02 (95% CI, 1.10-2.93) days with no statistically significant difference in clinical outcomes compared with hospital-first patients. CONCLUSIONS AND IMPLICATIONS: Patients with COVID-19 suitable for HaH should be considered for direct admission to HaH without need for an initial hospital stay.

Distress, Pain, and Nausea on Postoperative Days 1 and 14 in Women Recovering From Breast-Conserving Surgery: A Repeated-Measures Study.

OBJECTIVES: To determine the incidence and trajectory of distress, pain, and nausea and vomiting at postoperative day (POD) 1 and at POD 14 following breast-conserving surgery. SAMPLE & SETTING: 75 women aged 18 years or older receiving breast-conserving surgery with sentinel lymph node biopsy for treatment of early-stage primary breast cancer at an ambulatory surgery center. METHODS & VARIABLES: This prospective, repeated-measures study assessed distress, pain, and nausea and vomiting using the National Comprehensive Cancer Network Distress Thermometer and Problem List on POD 1 and POD 14. RESULTS: Pain and distress scores were highest on POD 1. The number of women who reported depression increased from POD 1 to POD 14. Thematic analysis revealed that family concerns, fears and worries, and postoperative issues contributed to pain and distress. IMPLICATIONS FOR NURSING: Women experience pain and distress during recovery at home after breast-conserving surgery. Nurses can use these results to apply evidence-based practice to reduce this symptom burden. Future nursing research should focus on targeted interventions outside of the hospital setting.

Work addiction risk, stress and well-being at work: testing the mediating role of sleep quality.

Introduction: Attention to work addiction risk is growing; however, more studies are needed to explore the possible impact of work addiction risk on various aspects of employees' work and life domains. Although several studies have considered the antecedents or consequences of work addiction risk, this study particularly focuses on sleep quality as a potential explanatory underlying mechanism in the relation between work addition risk and three outcome variables including stress at home, stress at work and well-being. Method: The data was collected using an online platform and participants consisted of 188 French employees who were selected using simple random sampling method. Participants responded to the survey including the Work Addiction Risk Test (WART), stress at work, well-being, and sleep quality. The data was analyzed using JASP and SPSS-26 programs. Results: The results revealed that there are significant positive relationships between work addiction risk and both stress at home and at work and negative relationships between work addiction risk and both sleep quality and well-being. In addition, the analyses of the mediation paths suggest the significant mediation role of sleep quality for the link between work addition risk and stress at work as well as the link between work addiction risk and well-being. Discussion: Given the verified mediating role of sleep quality in the relationship between work addiction, stress and wellbeing, it is recommended that organizations and companies pay particular attention to their employees' sleep quality.