Acute Health Events Research Articles

Classifying ambulation patterns in institutional settings

Observational studies of older adults show pacing, lapping, and stationary ambulation patterns can be associated with an increased risks for falls or an early sign of an acute or other health event in long-term care. The aim of this study is to use classical machine learning algorithms to automate the process of recognizing these patterns with the goal of assisting health care staff in monitoring the health and well-being of their residents. This study utilized data from six residents whose movements were tracked with a real-time locating system while performing everyday activities of daily living for up to 1.9 years. No residents exhibited lapping patterns over the course of the study. Machine learning statistical techniques recognized stationary and pacing with accuracy≥70%, with indirect and direct patterns having an accuracy of around 50% due to environmental constraints. Study findings suggest automated methods may be used with real-time locating data to recognize ambulation patterns that have been associated with poor health in this population. Study findings may be utilized by health care staff to tailor resident care plans and develop timely interventions that may affect falls and provide for the earlier recognition of acute events in this population.

Health shocks, health and labor market dynamics, and the socioeconomic-health gradient in older Singaporeans

Health disparities by socioeconomic status (SES) are potentially shaped by how an individual's health status and work capacity are affected by the incidence of illness, and how these effects vary across SES groups. We examine the impact of illness on the dynamics of health status, work activity and income in older Singaporeans to gain new insights on how ill health shapes the socioeconomic health gradient. Our data comprise of 60 monthly waves (2015–2019) of panel survey data containing 445,464 person-observations from 11,827 unique respondents from Singapore. We apply a matched event-study difference-in-differences research design to track how older adults' health and work changes following the diagnosis of heart disease and cancer. Our focus is how the dynamics of health and work differ for different SES groups, which we measure by post-secondary education attainment. We find that the dynamics of how self-assessed health recovers following the diagnosis of a new heart disease or cancer do not vary significantly across SES groups. Work activity however varies significantly, with less well-educated males and females being significantly less likely to be in active employment and have income from work, and are marginally more likely to be in retirement following the onset of ill health. By contrast, more well-educated males work more, and earn more a year after the health shock than they did before they fell ill. Occupational differences likely played a role in how work activity of less well-educated men decline more after an acute health event compared with more well-educated men. Understanding the drivers of the socioeconomic health gradient necessitates a focus on individual-level factors, as well as system-level influences, that affect health and work.

Management of infodemics in outbreaks or health crises: a systematic review.

The World Health Organization (WHO) defined an infodemic as an overabundance of information, accurate or not, in the digital and physical space, accompanying an acute health event such as an outbreak or epidemic. It can impact people's risk perceptions, trust, and confidence in the health system, and health workers. As an immediate response, the WHO developed the infodemic management (IM) frameworks, research agenda, intervention frameworks, competencies, and processes for reference by health authorities. This systematic review explored the response to and during acute health events by health authorities and other organizations operating in health. It also assessed the effectiveness of the current interventions. On 26 June 2023, an online database search included Medline (Ovid), Embase, Cochrane Library, Scopus, Epistemonikos, and the WHO website. It included English-only, peer-reviewed studies or reports covering IM processes applied by health organizations that reported their effectiveness. There was no restriction on publication dates. Two independent reviewers conducted all screening, inclusion, and quality assessments, and a third reviewer arbitrated any disagreement between the two reviewers. Reviewers identified 945 records. After a final assessment, 29 studies were included in the review and were published between 2021 and 2023. Some countries (Pakistan, Yemen, Spain, Italy, Hong Kong, Japan, South Korea, Singapore, United Kingdom, United States, New Zealand, Finland, South Korea, and Russia) applied different methods of IM to people's behaviors. These included but were not limited to launching media and TV conservations, using web and scientific database searches, posting science-based COVID-19 information, implementing online surveys, and creating an innovative ecosystem of digital tools, and an Early AI-supported response with Social Listening (EARS) platform. Most of the interventions were effective in containing the harmful effects of COVID-19 infodemic. However, the quality of the evidence was not robust. Most of the infodemic interventions applied during COVID-19 fall within the recommended actions of the WHO IM ecosystem. As a result, the study suggests that more research is needed into the challenges facing health systems in different operational environments and country contexts in relation to designing, implementing, and evaluating IM interventions, strategies, policies, and systems.

Genome-Wide Polygenic Score for Muscle Strength Predicts Risk for Common Diseases and Lifespan: A Prospective Cohort Study.

We used a polygenic score for hand grip strength (PGS HGS) to investigate whether genetic predisposition for higher muscle strength predicts age-related noncommunicable diseases, survival from acute adverse health events, and mortality. This study consisted of 342443 Finnish biobank participants from FinnGen Data Freeze 10 (53% women) aged 40-108 with combined genotype and health registry data. Associations between PGS HGS and a total of 27 clinical endpoints were explored with linear or Cox regression models. A higher PGS HGS was associated with a reduced risk of selected common noncommunicable diseases and mortality by 2%-10%. The risk for these medical conditions decreased by 5%-23% for participants in the highest PGS HGS quintile compared to those in the lowest PGS HGS quintile. A 1 standard deviation (SD) increase in the PGS HGS predicted a lower body mass index (β = -0.112kg/m2, standard error [SE] = 0.017, p = 1.69E-11) in women but not in men (β = 0.004kg/m2, p = .768). PGS HGS was not associated with better survival after acute adverse health events compared to the nondiseased period. The genotype that supports higher muscle strength appears to protect against future health adversities, albeit with modest effect sizes. Further research is needed to investigate whether or how a favorable lifestyle modifies this intrinsic capacity to resist diseases, and if the impacts of lifestyle behavior on health differs due to genetic predisposition for muscle strength.

Trajectories of Physical Resilience Among Older Veterans With Stage 4 CKD

Although functional impairment is common among older adults with chronic kidney disease (CKD), functional reserve before an acute health event and physical resilience after the event have not been characterized in this population. The purpose of this study was to identify distinct patterns of physical function before and after an acute health event among older veterans with stage 4 CKD. Prospective cohort study. National sample of veterans≥70 years of age with an estimated glomerular filtration rate (eGFR) of<30mL/min/1.73m2 who had an acute care encounter (emergency department visit or hospitalization) during the follow-up period (n= 272). Demographic characteristics, eGFR, basic and instrumental activities of daily living (ADL/IADL) difficulty, symptom burden, cognition, depressive symptoms, social support. Function measured using the life-space mobility assessment obtained by telephone survey before and after an acute care encounter. General growth mixture models to identify classes of functional trajectories. Calculation of percentages for demographic characteristics and means for eGFR, ADL/IADL difficulty, symptom burden, cognition, depressive symptoms, and social support by trajectory class. Four trajectory classes were identified and characterized by different levels of life-space mobility before (reserve) and change in life-space mobility after (resilience) an acute care encounter: (1) low reserve, low resilience (n=91), (2) high reserve, high resilience (n=23), (3) moderate reserve, moderate resilience (n=89), and (4) high reserve, low resilience (n=69). Mean levels of ADL/IADL difficulty, symptom burden, cognition, and depressive symptoms, but not demographic characteristics, eGFR, or social support, differed by trajectory class. Veteran cohort was primarily male. Among older adults with stage 4 CKD, physical function trajectories before and after an acute health event vary. Integrating reserve and resilience into care for this population may be useful for anticipating changes in function and developing tailored treatment plans.

A Big Data and FRAM-Based Model for Epidemic Risk Analysis of Infectious Diseases.

The use of multi-source precursor data to predict the epidemic risk level would aid in the early and timely identification of the epidemic risk of infectious diseases. To achieve this, a new comprehensive big data fusion assessment method must be developed. With the help of the Functional Resonance Analysis Method (FRAM) model, this paper proposes a risk portrait for the whole process of a pandemic spreading. Using medical, human behaviour, internet and geo-meteorological data, a hierarchical multi-source dataset was developed with three function module tags, ie, Basic Risk Factors (BRF), the Spread of Epidemic Threats (SET) and Risk Influencing Factors (RIF). Using the dynamic functional network diagram of the risk assessment functional module, the FRAM portrait was applied to pandemic case analysis in Wuhan in 2020. This new-format FRAM portrait model offers a potential early and rapid risk assessment method that could be applied in future acute public health events.

Investigation of a cluster of acute-onset seizures and deaths among children, Sirohi District, Rajasthan, April 2022

Background: Following reports of seven deaths among children with seizure and vomiting in the village of Sirohi, Rajasthan in April 2022, an epidemiological investigation was conducted. Methods: We established a hospital-based surveillance and did active case finding. A case was defined as vomiting and acute onset seizure or altered sensorium in &lt;18 years old in Verafalli village. We conducted verbal autopsy and collected information on food, behaviours and health-seeking. Food samples, cerebrospinal fluid (CSF) and blood specimens were collected for testing biochemical, bacterial and viral markers. Environmental surveys were conducted around cases’ houses for presence of poisonous vegetation and potential vectors. Results: Among 11 cases (median age 7 years (2-16 years), females 27%), all had vomiting, new-onset seizure was present in 73% and altered sensorium in 27%; 33% were hospitalized. Case fatality was 64%. No new cases were identified after April 2022. Median time between symptom onset and death was 9 hours (2-54 hours). Among deaths 28% (2/7) were hospitalized. Two deaths had low weight-for-age, blood glucose &lt;25 mg/dl (refractory hypoglycemia) and elevated liver enzymes (SGPT &gt;8000 IU/L). Lab results for food and CSF samples were inconclusive for bacterial and viral markers. Toxicology screen of one death was negative for organophosphates. In 25% (2/8), tick pools tested positive for rickettsia. All cases had houses in vicinity or within fennel crop area. Conclusions: This acute health event cluster presenting as acute seizures with rapid progression among children in a rural setting was likely due to environmental toxin consumption; high fatality may result from uncorrected metabolic derangement. Aflatoxin is commonly known to infect fennel crops. We recommend early identification and case management to prioritize metabolic derangement correction; continued surveillance and a systematic epidemiological investigation to evaluate the role of environmental toxins particularly aflatoxin as the underlying etiology for similar events in future.

Implementation and evaluation of a nurse-led intervention to augment an existing residential aged care facility outreach service with a visual telehealth consultation: stepped-wedge cluster randomised controlled trial

BackgroundUp to 75% of residents from residential aged care facilities (RACF) are transferred to emergency departments (ED) annually to access assessment and care for unplanned or acute health events. Emergency department presentations of RACF residents can be both expensive and risky, and many are unnecessary and preventable. Processes or triage systems to assess residents with a health event, prior to transfer, may reduce unnecessary ED transfer. The Aged Care Emergency (ACE) service is a nurse-led ED outreach service that provides telephone support to RACF nurses regarding residents’ health events. This service is available Monday to Friday, 8am to 4 pm (ED ACE hours). The primary objective of this study was to assess whether the augmentation of the phone-based ED ACE service with the addition of a visual telehealth consultation (VTC) would reduce RACF rate of ED presentations compared to usual care. The secondary objectives were to 1) monitor presentations to ED within 48 h post VTC to detect any adverse events and 2) measure RACF staff perceptions of VTC useability and acceptability.MethodsThis implementation study used a stepped wedge cluster randomised controlled trial design. Study settings were four public hospital EDs and 16 RACFs in two Local Health Districts. Each ED was linked to 4 RACFs with approximately 350 RACF beds, totalling 1435 beds across 16 participating RACFs. Facilities were randomised into eight clusters with each cluster comprising one ED and two RACFs.ResultsA negative binomial regression demonstrated a 29% post-implementation reduction in the rate of ED presentations (per 100 RACF beds), within ED ACE hours (IRR [95% CI]: 0.71 [0.46, 1. 09]; p = 0.122). A 29% reduction, whilst not statistically significant, is still clinically important and impactful for residents and EDs. A post-hoc logistic regression demonstrated a statistically significant 69% reduction in the probability that an episode of care resulted in an ED presentation within ED ACE hours post-implementation compared to pre-implementation (OR [95% CI]: 0.31 [0.11, 0.87]; p = 0.025).ConclusionFindings have shown the positive impact of augmenting ACE with a VTC. Any reduction of resident presentations to a busy ED is beneficial to healthcare overall, but more so to the individual older person who can recover safely and comfortably in their own RACF.Trial registrationAustralian New Zealand Clinical Trials Registry (ID ACTR N12619001692123) (02/12/2019) https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=378629andisReview=true

Sustained Efficacy, Safety, and Improved Quality of Life in Adult and Pediatric Patients with Transfusion-Dependent β-Thalassemia up to 9 Years Post Treatment with Betibeglogene Autotemcel (Beti-cel)

Introduction: Beti-cel gene therapy addresses the underlying cause of transfusion-dependent β-thalassemia (TDT) by adding functional copies of a modified β-globin gene to autologous CD34+ hematopoietic stem and progenitor cells (HSPCs) via a third-generation, self-inactivating lentiviral vector (LVV), BB305, which produces functional adult hemoglobin (Hb), HbA T87Q, in red blood cells (RBCs). Here, we report efficacy, safety, and quality of life (QOL) data from adult and pediatric patients treated with beti-cel who were followed for up to 9 years after treatment. These outcomes may inform patient selection for real-world treatment with beti-cel. Methods: Patients with TDT who completed either a phase 1/2 (HGB-204 [NCT01745120]; HGB-205 [NCT02151526]) or phase 3 (HGB-207 [NCT02906202]; HGB-212 [NCT03207009]) beti-cel parent study and subsequently participated in the long-term, 13-year follow-up study LTF-303 (NCT02633943) were included in this analysis. Analyses were performed with data collected through January 30, 2023. Efficacy (including transfusion independence [TI], defined as a weighted average Hb ≥9 g/dL without packed RBC transfusions for ≥12 months) and safety are reported through last follow-up. QOL data are reported for studies HGB-204, HGB-207, and HGB-212 through month 36. Statistical analyses were conducted to examine key outcomes in subgroups based on patient age at enrollment (pediatric: &amp;lt;18 years; adult: ≥18 years). Results:As of January 30, 2023, 63 patients (median [range] age: 17 [4-35] years) had received beti-cel in a phase 1/2 or 3 study and enrolled in LTF-303, with a median (range) follow-up of 60.1 (23.8-109.5) months. Phase 3 studies used the commercial drug product manufacturing process. Ninety percent (37/41) of phase 3 patients achieved and maintained TI through last follow-up (up to 6 years; Table 1). TI rates by study, genotype, and age for phase 3 patients are also presented in Table 1. In phase 1/2 studies that used an older drug manufacturing process, 68.2% (15/22) of patients achieved TI; 14 of these patients sustained TI through last follow-up (up to 9 years). One patient no longer meets protocol-defined TI as a result of Hb level &amp;lt;9g/dL at year 6 due to acute health events unrelated to β-thalassemia, which were not attributed to loss of beti-cel treatment effect. Approximately 80% of pediatric and adult patients required only one mobilization cycle to achieve the drug product dose. The median percentage of drug product cells transduced with the BB305 LVV was comparable between adult and pediatric populations (78% and 80%, respectively), as were the month 6 median peripheral blood vector copy number (1.4 c/dg and 1.1 c/dg) and HbA T87Q (9.4 g/dL and 8.3 g/dL). Adult patients reported improvements in QOL up to month 36 as assessed by the Short Form-36 Health Survey Questionnaire mental and physical component summary scores, Functional Assessment of Cancer Therapy, and EuroQol ( Table 2). Pediatric Quality of Life Inventory scores will be reported at the time of presentation. Overall, 19% (12/63) of patients experienced ≥1 beti-cel-related adverse event (AE); the most common beti-cel-related AEs (occurring in ≥3 patients) were abdominal pain (experienced in 5/63 [7.9%] patients) and thrombocytopenia (3/63 [4.8%] patients). Five patients experienced serious veno-occlusive liver disease; all 5 received defibrotide and recovered. No malignancies, insertional oncogenesis, or vector-derived replication-competent lentivirus were reported. Age subgroup safety analysis as of last follow-up will be reported in the final presentation. Conclusion: Beti-cel is a potentially curative gene therapy for patients with TDT across ages and genotypes through achievement of TI and normal or near-normal Hb. These data will inform real-world beti-cel treatment decisions for patients with TDT and providers.

Improvement in Iron Burden in Patients with Transfusion-Dependent β-Thalassemia (TDT) Treated with Betibeglogene Autotemcel (Beti-cel) Gene Therapy: Up to 9 Years of Follow-up

Introduction: Beti-cel is an approved, one-time gene therapy treatment for adult and pediatric patients with TDT. Beti-cel consists of autologous hematopoietic stem and progenitor cells transduced with the BB305 lentiviral vector encoding a modified β-globin gene (β A-T87Q), which produces functional hemoglobin (Hb) and addresses the underlying genetic cause of TDT. While transfusion independence (TI) remains a critical component for assessing patient response to gene therapy, other measures, including markers of iron overload, are important for evaluating the impact of therapy and management of disease burden over time. Previously, we demonstrated that iron markers stabilized in patients who achieved TI and stopped chelation therapy. Here, we report iron management outcomes in patients who completed either a phase 1/2 or phase 3 beti-cel parent study and subsequently enrolled in the long-term follow-up study. Methods: Patients with TDT who completed a parent beti-cel study (phase 1/2 studies: HGB-204 [NCT01745120]; HGB-205 [NCT02151526]; phase 3 studies: HGB-207 [NCT02906202]; HGB-212 [NCT03207009]) could enroll in a long-term study (LTF-303 [NCT02633943]) for up to an additional 13 years of follow-up. In these studies, TI was defined as a weighted average Hb ≥9 g/dL without packed red blood cell transfusions for ≥12 months. Iron removal therapy was at the discretion of the treating physician. Liver and cardiac magnetic resonance imaging evaluated liver iron concentration (LIC) and cardiac T2*; serum ferritin and transferrin receptor (TfR) were assessed at regular intervals according to protocol. Results:As of January 30, 2023, 63 patients received beti-cel; median (range) follow-up was 60.1 (23.8-109.5) months. In phase 3 studies, 37/41 (90%) patients achieved TI and maintained TI through the last follow-up, which was 5+ years for 10 patients ( Figure 1). In phase 1/2 studies, 15/22 (68%) patients achieved TI; 14 of these patients maintained TI through the last follow-up, which was up to 9 years. One patient no longer meets protocol-defined TI as a result of Hb level &amp;lt;9g/dL at year 6 due to acute health events unrelated to β-thalassemia, which were not attributed to loss of beti-cel treatment effect. In total, 51 patients across phase 1/2 and 3 studies achieved and maintained TI through last follow-up with 35/51 (69%) patients off chelation. Thirty of 51 patients had an LIC measurement at month 48. Of these 30 patients, 21 had an LIC &amp;lt;5 mg/g at month 48 post infusion. Among these 21 patients, 5 never restarted chelation after infusion (2 received phlebotomy only), 11 restarted chelation and then were able to discontinue after iron stores normalized (1 also received phlebotomy), and 5 continue to receive chelation (none had phlebotomy). The other 9 patients who had an LIC measurement at month 48 had an iron burden ≥5 mg/g. All 9 of these patients restarted chelation; 4 were able to discontinue (2 had phlebotomy) and 5 continue to receive chelation (1 had phlebotomy). Analysis of iron marker stabilization after discontinuation of chelation will be presented. The median (range) change from baseline in LIC levels at month 48 was -3.9 (-22.3 to 10.5) mg Fe/g dry weight; the median (range) change from baseline in serum ferritin was -2119.0 (-7211 to 3889) pmoL/L. Reductions from baseline in serum TfR were observed at month 36; cardiac T2* remained stable at month 48 ( Table 1). Safety of beti-cel treatment largely reflected the known side effects of hematopoietic stem cell collection and the busulfan conditioning regimen. Conclusion: In this analysis with up to 9 years of follow up, patients treated with beti-cel who achieved TI also demonstrated sustained improvements in iron burden, and the majority of patients were able to stop chelation. Collectively, these results demonstrate the long-term durability and stability of response after beti-cel gene therapy in patients with TDT.

Prevalence of fatigue in the general population during the pandemic: cross-sectional study in Geneva

Abstract Background Fatigue is a frequent symptom, the determinants of which are numerous and poorly understood. Fatigue also predicts ischemic heart disease, cancer, physical decline, and mortality. While the COVID-19 pandemic constituted a major stressor, no previous studies have measured the prevalence of fatigue and its determinants since the beginning of the pandemic in a general population. This study aims (1) to assess the prevalence of fatigue among the general population of the canton of Geneva, Switzerland, two years into the pandemic and (2) to analyse its determinants. Methods A cross-sectional population-based study was conducted as part of the Specchio-COVID19 cohort study. Adult participants answered an online health survey between March and May 2022. The main outcome was self-reported fatigue measured by the Chalder Fatigue Questionnaire. Other variables included general and mental health status, quality of life, and sociodemographic data. Multivariable logistic regressions were used to evaluate the determinants of fatigue. Results 4040 participants took part in the survey (participation rate 59%, respondents and non-respondents were comparable). The overall prevalence of fatigue was 31%. Significant determinants of fatigue were depression (aOR 10.49 [6.29-17.50], p &amp;lt; 0.001), diagnosis of a chronic disease in the past year (aOR 1.37 [1.12-1.68], p = 0.002), and an acute health event in the past year (aOR 1.44 [1.08-1.93], p = 0.014). 18-45-year-old people with a chronic disease were more likely to report fatigue (aOR 1.70 [1.04-2.77], p = 0.033). Male gender (aOR 0.72 [0.57-0.92], p = 0.007) or retirement (aOR 0.60 [0.43 - 0.85], p = 0.003) were protective factors. Age, level of education, and income were not significantly associated with fatigue. Conclusions Fatigue was still highly prevalent in the general population two years into the COVID19 pandemic, comparing to regional prepandemic data. The cohort Specchio will monitor the evolution of fatigue after the pandemic. Key messages • Fatigue was still highly prevalent two years into the COVID19 pandemic among the general population in Geneva, comparing to regional prepandemic data. • Longitudinal follow-up is crucial to assess how fatigue is evolving after the pandemic.

Trajectories of Disability and Long-Term Care Utilization After Acute Health Events

ABSTRACT Hip fractures, strokes, and heart attacks are common acute health events that can lead to long-term disability, care utilization, and unmet needs. However, such impacts, especially in the long term, are not fully understood. Using data from the Health and Retirement Study, 1992–2018, this study examines the long-term trajectories of individuals suffering such health shocks, comparing with individuals not experiencing health shocks. Hip fracture, stroke, and heart attack are confirmed to have severe implications for disability. In most cases of stroke and heart attack, informal caregivers provide the daily support needed by survivors, whereas following hip fracture, nursing home care is more relevant. These health shocks put individuals on worse trajectories of disability, care utilization, and unmet needs. There is no long-term recovery or convergence with individuals who do not suffer shocks. Unmet need is prevalent, even pre-shock and among individuals who do not experience health shocks, emphasizing the importance of preventative care measures. These findings support policy action to ensure hospitalized individuals, especially those aged 50 and above, receive rehabilitative services and other post-acute care. Furthermore, hospitalization is an event that requires the detection and addressing of unmet care needs beyond the short run.

Experiences of relatives of patients with delirium due to an acute health event - A systematic review of qualitative studies

ObjectiveEvaluate relatives' experience of delirium due to an acute health event in a loved person and to compile practical suggestions for health care professionals from these synthesized results. BackgroundDelirium resulting from an acute health event places patients at increased risk for prolonged hospitalization and mortality. A delirium episode also affects family members who may assist in the diagnosis and recovery from this condition. Inclusion criteriaQualitative studies of family members or other caregivers who witnessed patient delirium in a clinical setting were included if they had appropriate verbatim evidence. Studies dealing exclusively with delirium in the context of dementia, cancer, palliative care, or drug dependence were excluded, and if quotes could not be clearly allocated to relatives. MethodsA systematic review of qualitative studies adapted from the Joanna Briggs Institute meta-aggregation approach. A systematic literature search was conducted in CINAHL complete®, MEDLINE®, and several dissertation databases in September 2022. ResultsEight qualitative studies based on semi-structured interviews were included. In total 75 findings from 105 relatives were aggregated into 13 categories. Finally, three synthesized findings reveal suggestions for health care professionals: providing information adequately, communication and integration during health care and understanding relatives' perspective on delirium experience. ConclusionThe identified burdens and needs of relatives should be considered by health care professionals to enhance the delirium experience for them, thus improving patient care by involving relatives with a better understanding.

Addressing buprenorphine bottlenecks in the context of MAT Act implementation: A shared responsibility

Medications for opioid use disorder (OUD) such as buprenorphine reduce overdose mortality and other opioid related acute health events but have historically been highly regulated. The recent Mainstreaming Addiction Treatment (MAT) Act ended the requirement clinicians complete a specified training and apply for a DATA 2000 (“X”) waiver on their Drug Enforcement Administration (DEA) number, to prescribe buprenorphine. With the MAT Act, any practitioner with Schedule III prescribing authority (a regular DEA number) can now prescribe buprenorphine for OUD. While this has potential to improve OUD treatment access, the impact will depend on implementation. Though the MAT Act may facilitate increased buprenorphine prescribing, ensuring adequate buprenorphine dispensing is also critical to improving Medications for opioid use disorder. Recognized buprenorphine bottlenecks arise from a complex convergence of factors in community pharmacies, threatening to undercut the benefits of the MAT Act. If prescribing increases but is not matched by increased dispensing, bottlenecks may worsen. Any worsening of buprenorphine bottlenecks could have a disproportionate impact in rural areas where residents may rely on fewer pharmacies to fill prescriptions for people in larger geographic area and where larger prescribing-dispensing gaps already exist such as in Southern states. Rigorous research will be needed to document the overall impact of the MAT Act on community pharmacists and their patients. At the federal level, pharmacists and their professional organizations should lobby the DEA to de-schedule or re-schedule buprenorphine. The DEA should announce a moratorium on enforcement actions against wholesalers and pharmacies related to buprenorphine distribution and dispensing. More supports should be offered to community pharmacies by state pharmacy boards and associations including continuing pharmacy education and technical assistance for advocating with wholesalers to increase buprenorphine order sizes, and to more effectively communicate with prescribers. Pharmacies should not have to face these challenges alone. Regulators, wholesalers, and researchers must join together with community pharmacies to further reduce regulatory barriers to dispensing, provide evidence-based interventions where needed to support pharmacy dispensing efforts, conduct rigorous implementation research, and be constantly vigilant in identifying and addressing multi-level buprenorphine bottlenecks in the wake of the MAT Act.

1415 NOVEL APPROACHES TO POST DISCHARGE CARE. REMOTE HEALTHCARE MONITORING SYSTEMS FOLLOWING TRAUMATIC BRAIN INJURY IN OLDER ADULTS

Abstract Introduction Major trauma including Traumatic Brain Injury (TBI) is an increasingly common cause of hospitalisation in older adults (OAs). We studied post-discharge recovery from TBI using a remote healthcare monitoring system that captures data on activity and sleep. We aim to assess the feasibility and acceptability of this technology to monitor recovery at home following a significant acute health event in OAs. Methods We installed Minder, a remote healthcare monitoring system, in recently discharged patients &amp;gt;60 years with moderate-severe TBI. We present descriptive analyses of post-discharge recovery for two males, corroborating data from Minder against verified activities and events. We recorded semi-structured interviews assessing acceptability. Both participants have similar household set-up, multimorbidity profiles and clinical frailty scores; however, one participant has prior cognitive impairment (PAT1), and one does not (PAT2). Results We present 10 weeks of sleep and activity data from Minder and feedback from interviews. Data observed from PAT1 revealed habitual patterns of activity and sleep. These remained stable, despite discrete clinical events. Conversely, PAT2's data revealed irregular sleep patterns that became increasingly fragmented. Activity was detected in multiple rooms throughout the house at night, consistent with carer reports of night-time wandering. Increased overnight activity coincided with multiple falls, prompting increased care provision. Initial feedback from interviews was the technology helped participants and those involved in their care feel supported. Conclusions As pressure on services mounts, novel approaches to post-discharge care are of increasing importance. Remote healthcare monitoring can provide high temporal resolution data offering ‘real world’ insights into the effects of significant health events in OAs. Our provisional results support our hypothesis that use of this technology is feasible and acceptable for frail, multimorbid participants and highlights the substantial potential of this technology to help clinicians improve community-based care and more effectively monitor interventions and chronic conditions.

Developing Acute Event Risk Profiles for Older Adults with Dementia in Long-Term Care Using Motor Behavior Clusters Derived from Deep Learning.

This paper uses deep (machine) learning techniques to develop and test how motor behaviors, derived from location and movement sensor tracking data, may be associated with falls, delirium, and urinary tract infections (UTIs) in long-term care (LTC) residents. Longitudinal observational study. A total of 23 LTC residents (81,323 observations) with cognitive impairment or dementia in 2 northeast Department of Veterans Affairs LTC facilities. More than 18months of continuous (24/7) monitoring of motor behavior and activity levels used objective radiofrequency identification sensor data to track and record movement data. Occurrence of acute events was recorded each week. Unsupervised deep learning models were used to classify motor behaviors into 5 clusters; supervised decision tree algorithms used these clusters to predict acute health events (falls, delirium, and UTIs) the week before the week of the event. Motor behaviors were classified into 5 categories (Silhouette score= 0.67), and these were significantly different from each other. Motor behavior classifications were sensitive and specific to falls, delirium, and UTI predictions 1week before the week of the event (sensitivity range= 0.88-0.91; specificity range= 0.71-0.88). Intraindividual changes in motor behaviors predict some of the most common and detrimental acute events in LTC populations. Study findings suggest real-time locating system sensor data and machine learning techniques may be used in clinical applications to effectively prevent falls and lead to the earlier recognition of risk for delirium and UTIs in this vulnerable population.

Delivering actionable infodemic insights and recommendations for the COVID-19 pandemic response

Abstract Issue The COVID-19 pandemic and current recovery efforts have been complicated by a parallel infodemic. The infodemic has manifested itself in the rapid spread of questions, concerns and misinformation that can affect population attitudes and behavior harmful to health -promoting stigma and discrediting science, non-recommended treatments and cures, politicizing health programs and eroding trust in health workers and health systems. Description WHO's COVID-19 Pillar 2 (risk communication, community engagement and infodemic management) developed an integrated public health infodemic insights methodology for weekly analysis of social media, traditional media and other data sources to identify, categorize, and understand the key concerns and narratives expressed, and inform risk communication and response activities. Results The infodemic characterization, integrated analysis and insights generation consisted of a 3-step mixed-methods approach. First, data was collected from publicly available social and news media and categorized into categories of conversations by a COVID-19 public health taxonomy. Second, the dataset was analyzed and compared week-on-week to identify changes in narratives and conversation sentiment. Third, the digital infodemic intelligence was reviewed by a group of subject matter experts and triangulated with other data sources to derive infodemic insights and provide recommendations for action for the week. The methodology has been applied to inform COVID-19 response, COVID-19 vaccine demand promotion, and preparing for mass gatherings or mass immunization campaigns. Lessons The methodology for infodemic intelligence generation and integration has introduced evidence-based analytical practices for generation of infodemic insights and recommendations for action into the work of WHO. It must be further adapted for use by different health programmes and preparedness functions, and is described WHO Field Infodemiology Manual. Key messages • Health authorities can use infodemic insights to respond to people’s concerns, questions and information deficits in a timely and effective manner. • An evidence-based methodology has been developed and validated to generate infodemic insights and recommendations for action during an acute health event or emergency.

Expert perspectives on priorities for supporting health security in the Pacific region through health systems strengthening.

The COVID-19 pandemic has reiterated the interdependence of health security and health systems, and the need for resilient health systems to prevent large-scale impacts of infectious disease outbreaks and other acute public health events. Three years into the COVID-19 pandemic has led to discussions on how to "build back better", making it important to identify lessons to strengthen health systems and prevent future shocks from health security threats. Limited data exist on effective implementable initiatives, especially for the Pacific region. We explored the perceptions of a selection of experts with field experience in the Pacific region to identify and prioritise areas for future health system investments that strengthen health security. We conducted a qualitative cross-sectional study, collecting data using four focus group discussions. We analysed the data using a content analysis of notes recorded from each of the sessions. There were 24 participants, representing 15 research and academic institutions, nongovernment agencies, UN agencies and government as well as independent consultants. All were health sector stakeholders with field experience in the Pacific region and expertise in either health systems or health security. The analysis revealed four areas to prioritise future efforts, namely workforce development, risk communication, public health surveillance and laboratory capacity. A fifth theme, localisation, was identified as a cross cutting theme that should be applied to implementation of other identified priority areas. These findings provide a starting point to apply in practice this relatively new concept, of targeted health systems strengthening for health security development, in the Pacific. Evaluation of these initiatives will strengthen knowledge on the value of integrating these two concepts.

The Role of Social Engagement in Older Adults' Health.

The purpose of the current study was to explore the association between social engagement and the health status, cognition, and perceived well-being of older adults using data from the National Health and Aging Trends Study. Descriptive statistics, clustering, and regression modeling were performed to analyze the data. We used the regression model to identify statistically significant relationships between the representative variables and the extent to which participants participated in social activities. The most representative variable for each of the three clusters was selected and fitted to the regression model, which consists of (1) acute health problems and events, (2) cognitive and communication barriers, and (3) chronic conditions contributing to long-term health status. A regression model found that two factors-cognitive and communication barriers and chronic conditions contributing to long-term health status-were statistically significant in determining social engagement in older adults. Health care providers should consider various factors in planning and implementing social programs that can positively engage older adults. [Research in Gerontological Nursing, 15(3), 152-160.].

Chronic health conditions, acute health events, and healthcare utilization among adults over age 50 in Hawai’i who use cannabis: A matched cohort study

BackgroundResearch on cannabis-related health outcomes in diverse older adults is limited. The current study utilized a matched cohort study design to compare older adults in Hawai’i with identified cannabis diagnoses and matched controls on chronic health conditions, acute health events, and healthcare utilization from 2016 to 2020. MethodPatients age 50 + were identified using ICD-10 diagnostic codes for cannabis use, abuse, and dependence using electronic health record data from an integrated health system (Kaiser Permanente Hawai’i). Those with cannabis diagnoses (n = 275) were compared to matched non-using controls (n = 275; based on age, sex) on chronic health conditions (coronary heart disease, hypertension, COPD, chronic non-cancer pain), acute health events (myocardial infarction, respiratory symptoms, stroke, persistent or cyclic vomiting, injuries), and healthcare utilization (outpatient, inpatient, and emergency department visits) following case identification for two years. ResultsParticipants were 19.3% Native Hawaiian/Pacific Islander, 24.4% Asian, 47.8% White, and 8.5% Other/Unknown, with an average age of 62.8 years (SD=7.3). Adjusting for covariates as possible, participants with a cannabis diagnosis had significantly greater risk of coronary heart disease, chronic non-cancer pain, stroke, myocardial infarction, cyclic vomiting, and injuries, over time, compared to controls. Cannabis use was associated with any and greater frequency of outpatient, inpatient, and emergency department visits. ConclusionsIn a diverse sample, older adults who used cannabis had worse health conditions and events and used more health services over a two-year period. Future studies should evaluate cannabis-related health outcomes, effects of cannabis problem severity, as well as implications for healthcare in aging populations.