Improving TRansitions ANd outcomeS for heart FailurE patients in home health CaRe (I-TRANSFER-HF): a type 1 hybrid effectiveness-implementation trial: study protocol.

BACKGROUND: Some of the most promising strategies to reduce hospital readmissions in heart failure (HF) is through the timely receipt of home health care (HHC), delivered by Medicare-certified home health agencies (HHAs), and outpatient medical follow-up after hospital discharge. Yet national data show that only 12% of Medicare beneficiaries receive these evidence-based practices, representing an implementation gap. To advance the science and improve outcomes in HF, we will test the effectiveness and implementation of an intervention called Improving TRansitions ANd OutcomeS for Heart FailurE Patients in Home Health CaRe (I-TRANSFER-HF), comprised of early and intensive HHC nurse visits combined with an early outpatient medical visit post-discharge, among HF patients receiving HHC. METHODS: This study will use a Hybrid Type 1, stepped wedge randomized trial design, to test the effectiveness and implementation of I-TRANSFER-HF in partnership with four geographically diverse dyads of hospitals and HHAs ("hospital-HHA" dyads) across the US. Aim 1 will test the effectiveness of I-TRANSFER-HF to reduce 30-day readmissions (primary outcome) and ED visits (secondary outcome), and increase days at home (secondary outcome) among HF patients who receive timely follow-up compared to usual care. Hospital-HHA dyads will be randomized to cross over from a baseline period of no intervention to the intervention in a randomized sequential order. Medicare claims data from each dyad and from comparison dyads selected within the national dataset will be used to ascertain outcomes. Hypotheses will be tested with generalized mixed models. Aim 2 will assess the determinants of I-TRANSFER-HF's implementation using a mixed-methods approach and is guided by the Consolidated Framework for Implementation Research 2.0 (CFIR 2.0). Qualitative interviews will be conducted with key stakeholders across the hospital-HHA dyads to assess acceptability, barriers, and facilitators of implementation; feasibility and process measures will be assessed with Medicare claims data. DISCUSSION: As the first pragmatic trial of promoting timely HHC and outpatient follow-up in HF, this study has the potential to dramatically improve care and outcomes for HF patients and produce novel insights for the implementation of HHC nationally. TRIAL REGISTRATION: This trial has been registered on ClinicalTrials.Gov (#NCT06118983). Registered on 10/31/2023, https://clinicaltrials.gov/study/NCT06118983?id=NCT06118983&rank=1 .

Emergency department utilization among children with Long COVID symptoms: a COVID-19 research consortium study.

BACKGROUND AND OBJECTIVES: Long COVID, characterized by persistent symptoms beyond the acute infection phase, remains poorly characterized in children. Our study aim is to determine if children who exhibit any symptoms/conditions associated with Long COVID after acute COVID-19 infection have higher Emergency Department (ED) utilization compared to those who do not exhibit these symptoms. METHODS: Data from the HealthJump ambulatory database from the COVID-19 Research Database Consortium was utilized to identify pediatric COVID-19 cases from March 2020 to May 2023. Long COVID cases were defined based on symptoms/conditions occurring 30-180 days after initial COVID diagnosis. Descriptive statistics and multivariable logistic regression models were used to model the relationship between Long COVID and child ED utilization. RESULTS: Out of 130,010 children diagnosed with COVID-19, 43,645 (33.6%) exhibited at least one Long COVID symptom/condition. Children with Long COVID symptoms/conditions had 152% higher odds (OR: 2.52, CI: 2.32-2.73) of ED visits, while those with specific symptoms including "chest pain" had 255% higher odds (AOR: 3.55, CI: 2.73-4.54) and "fluid and electrolyte disturbances" had 229% higher odds (AOR: 3.29, CI: 2.23-4.73) compared to those without those symptoms/conditions. CONCLUSION: This study reveals that children with Long COVID symptoms had notably higher odds of ED visits, with chest pain, fluid imbalances, and generalized pain being most closely linked to such visits. This study highlights the burden of Long COVID on ED providers and underscores the importance of improved guidance for managing Long COVID symptoms in children.

Associations among claims-based care fragmentation, self-reported gaps in care coordination, and self-reported adverse events.

BACKGROUND: Fragmentation of care (that is, the use of multiple ambulatory providers without a dominant provider) may increase the risk of gaps in communication among providers. However, it is unclear whether people with fragmented care (as measured in claims) perceive more gaps in communication among their providers. It is also unclear whether people who perceive gaps in communication experience them as clinically significant (that is, whether they experience adverse events that they attribute to poor coordination). METHODS: We conducted a longitudinal study using data from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study, including a survey on perceptions of healthcare (2017-2018) and linked fee-for-service Medicare claims (for the 12 months prior to the survey) (N = 4,296). We estimated correlation coefficients to determine associations between claims-based and self-reported numbers of ambulatory visits and ambulatory providers. We then used logistic regression to determine associations between claims-based fragmentation (measured with the reversed Bice-Boxerman Index [rBBI]) and self-reported gaps in care coordination and, separately, between claims-based fragmentation and self-reported adverse events that the respondent attributed to poor coordination. RESULTS: The correlation coefficient between claims-based and self-report was 0.37 for the number of visits and 0.38 for the number of providers (p < 0.0001 for each). Individuals with high fragmentation by claims (rBBI ≥ 0.85) had a 23% increased adjusted odds of reporting any gap in care coordination (95% CI 3%, 48%) and, separately, a 61% increased adjusted odds of reporting an adverse event that they attributed to poor coordination (95% CI 11%, 134%). CONCLUSIONS: Medicare beneficiaries with claims-based fragmentation also report gaps in communication among their providers. Moreover, these gaps appear to be clinically significant, with beneficiaries reporting adverse events that they attribute to poor coordination.

Development and initial validation of a disease-specific instrument to measure health-related quality of life in hypersensitivity pneumonitis.

Rationale and objective: Disease-specific health-related quality of life (HRQOL) instruments enable us to capture domains that are most relevant to specific patient populations and are useful when a more individualised approach to patient assessment is desired. In this study, we assessed the validity and reliability of the first instrument specifically developed to measure HRQOL in hypersensitivity pneumonitis (HP). Methods: A 39-item HP-HRQOL instrument and several anchors were collected from a cohort of patients with HP. Exploratory factor analysis and item reduction were utilised to construct a shortened version of the instrument. Several validity and reliability analyses were conducted on this version of the HP-HRQOL. Measurements and main results: 59 patients with HP completed the study. The revised HP-HRQOL instrument comprises 15 items composing two factors (domains): 1) impacts on daily life; and 2) mental wellbeing. Internal consistency reliability was strong for Factor 1 (Cronbach's α=0.94, 95% CI 0.92-0.96) and Factor 2 (Cronbach's α=0.89, 95% CI 0.85-0.94). Test-retest reliability was strong (ICC 0.94, 95% CI 0.89-0.97). The HP-HRQOL strongly correlated with other validated patient-reported outcome measures and moderately correlated with % predicted forced vital capacity. The HP-HRQOL distinguished between those with different severities of HP as determined by lung function and supplemental oxygen use. Conclusions: The HP-HRQOL, the first patient-reported outcome instrument specific to adults with HP, possesses strong validity and reliability characteristics for measuring disease-specific HRQOL and distinguishes among patients with different severities of disease.

Putting Traits Associated with Effective Medical Leadership into Action: Support for a Faculty Development Strategy.

Leadership development is essential to the well-being of medical organizations, but leadership concepts do not easily translate into skills or actions. The Mayo Leadership Behavior Index© (Leader Index), a validated instrument describing eight leadership traits associated with constituent well-being, can serve as a guide. The authors analyzed narratives from a qualitative study of senior medical leaders describing successful leadership behaviors to see how the tenets of the Leader Index can be applied. Current/emeritus chairs of major academic departments/divisions from a single institution were asked to describe anecdotes of actions used by leaders in actual settings. Narratives from interviews were analyzed for behaviors that map to the eight traits in the Leader Index. Eleven senior leaders volunteered multiple scenarios of effective and ineffective leadership with illustrative examples. The behaviors they identified mapped to all eight traits of the Leader Index, specifically career conversations, empowerment to do the job, encouragement of ideas, treatment with respect and dignity, provision of job performance feedback and coaching, recognition of well-done work, information about organizational changes, and development of talents and skills. These findings provide faculty development experts and psychologists tangible behaviors and actions they can teach to enhance leadership skills.

Clusters of long COVID among patients hospitalized for COVID-19 in New York City.

BACKGROUND: Recent studies have demonstrated that individuals hospitalized due to COVID-19 can be affected by "long-COVID" symptoms for as long as one year after discharge. OBJECTIVES: Our study objective is to identify data-driven clusters of patients using a novel, unsupervised machine learning technique. METHODS: The study uses data from 437 patients hospitalized in New York City between March 3rd and May 15th of 2020. The data used was abstracted from medical records and collected from a follow-up survey for up to one-year post-hospitalization. Hospitalization data included demographics, comorbidities, and in-hospital complications. The survey collected long-COVID symptoms, and information on general health, social isolation, and loneliness. To perform the analysis, we created a graph by projecting the data onto eight principal components (PCs) and running the K-nearest neighbors algorithm. We then used Louvain's algorithm to partition this graph into non-overlapping clusters. RESULTS: The cluster analysis produced four clusters with distinct health and social connectivity patterns. The first cluster (n = 141) consisted of patients with both long-COVID neurological symptoms (74%) and social isolation/loneliness. The second cluster (n = 137) consisted of healthy patients who were also more socially connected and not lonely. The third cluster (n = 96) contained patients with neurological symptoms who were socially connected but lonely, and the fourth cluster (n = 63) consisted entirely of patients who had traumatic COVID hospitalization, were intubated, suffered symptoms, but were socially connected and experienced recovery. CONCLUSION: The cluster analysis identified social isolation and loneliness as important features associated with long-COVID symptoms and recovery after hospitalization. It also confirms that social isolation and loneliness, though connected, are not necessarily the same. Physicians need to be aware of how social characteristics relate to long-COVID and patient's ability to cope with the resulting symptoms.

Association between Gaps in Care Coordination and Emergency Department Visits Among Children without Chronic Conditions or Special Needs.

OBJECTIVE: Prior studies and have shown that gaps in care coordination (CC) increase the risk of emergency department (ED) visits among children with special healthcare needs. This study aims to determine if gaps in CC are associated with an increased risk of ED visits among children without special needs (non-CSHCN). STUDY DESIGN: We conducted a cross-sectional study using the National Survey of Children's Health (2018-2019), representing children up to age 17. A "gap" in CC occurs if the adult proxy reported dissatisfaction with communication between providers or difficulty getting the help needed to coordinate care for the child. Using logistic regression models adjusting for age and sex, we measured the association between a gap in CC and 1 or more ED visits during the past 12 months overall and stratified by any special needs. Adjusted odds ratios (AOR) and 95% confidence intervals (95% CI) were calculated. RESULTS: Between 2018 and 2019, 15% of respondents reported a gap in CC and 19.4% of children had at least one ED visit. Among non-CSHCN, these rates were 11% and 17%. In this population, a gap in CC was independently associated with an increased odds of ED use (AOR: 2.14; 95% CI 1.82, 2.52). CONCLUSIONS FOR PRACTICE: Self-reported gaps in ambulatory CC were associated with increased odds of ED visits even among non-CSHCN children with minor illnesses, suggesting that providers need to be aware of potential pitfalls in CC for all children, and ensure that pertinent information is available where needed.

Social Networks as a Key Health Determinant in Acute Illness Recovery: A Lesson from the COVID-19 Pandemic.

BACKGROUND: The COVID-19 pandemic highlighted the importance of considering social determinants of health in health outcomes. Within this spectrum of determinants, social networks garnered attention as the pandemic highlighted the negative effects of social isolation in the context of social distancing measures. Postpandemic, examining the role social networks play in COVID-19 recovery can help guide patient care and shape future health policies. This study aimed to investigate the relationship between social networks and self-rated health change, as well as physical function, in patients recovering from COVID-19 pneumonia. METHODS: This was a retrospective cohort study utilizing clinical data from 2 New York City hospitals and a 9-month follow-up survey of COVID-19 pneumonia survivors. We evaluated a composite Social Network Score from the 6-item Lubben Social Network Scale and its association with 2 outcomes: 1) self-rated health change and 2) physical function. RESULTS: A total of 208 patients were included in this study. A 1-point increase in the Social Network Score was associated with greater odds of both same or improved self-rated health change (odds ratio [OR] 1.07, 95% CI 1.02-1.12, P = .01), as well as unimpaired physical function (OR 1.08, 95% CI 1.03-1.14, P < .01). CONCLUSION: This study emphasized the importance of social networks as a social determinant of health among patients recovering from COVID-19 hospitalization. Targeted interventions to enhance social networks may benefit not only COVID-19 patients but also individuals recovering from other acute illnesses.

Ambulatory Care Fragmentation and Total Health Care Costs.

BACKGROUND: The magnitude of the relationship between ambulatory care fragmentation and subsequent total health care costs is unclear. OBJECTIVE: To determine the association between ambulatory care fragmentation and total health care costs. RESEARCH DESIGN: Longitudinal analysis of 15 years of data (2004-2018) from the national Reasons for Geographic and Racial Differences in Stroke (REGARDS) study, linked to Medicare fee-for-service claims. SUBJECTS: A total of 13,680 Medicare beneficiaries who are 65 years and older. MEASURES: We measured ambulatory care fragmentation in each calendar year, defining high fragmentation as a reversed Bice-Boxerman Index ≥0.85 and low as <0.85. We used generalized linear models to determine the association between ambulatory care fragmentation in 1 year and total Medicare expenditures (costs) in the following year, adjusting for baseline demographic and clinical characteristics, a time-varying comorbidity index, and accounting for geographic variation in reimbursement and inflation. RESULTS: The average participant was 70.9 years old; approximately half (53%) were women. One-fourth (26%) of participants had high fragmentation in the first year of observation. Those participants had a median of 9 visits to 6 providers, with the most frequently seen provider accounting for 29% of visits. By contrast, participants with low fragmentation had a median of 8 visits to 3 providers, with the most frequently seen provider accounting for 50% of visits. High fragmentation was associated with $1085 more in total adjusted costs per person per year (95% CI $713 to $1457) than low fragmentation. CONCLUSIONS: Highly fragmented ambulatory care in 1 year is independently associated with higher total costs the following year.

Association of phenotypic frailty and hand grip strength with telomere length in SLE.

OBJECTIVE: Frailty and objective hand grip strength (one of the components of the frailty phenotype) are both risk factors for worse health outcomes in SLE. Whether telomere length, an established cellular senescence marker, is a biologic correlate of the frailty phenotype and hand grip strength in patients with SLE is not clear. First, we aimed to evaluate differences in telomere length between frail and non-frail women with SLE and then assessed whether frailty or hand grip strength is differentially associated with telomere length after adjusting for relevant confounders. METHODS: Women ≥18 years of age with validated SLE enrolled at a single medical centre. Fried frailty status (which includes hand grip strength), clinical characteristics and telomere length were assessed cross-sectionally. Differences between frail and non-frail participants were evaluated using Fisher's exact or Wilcoxon rank-sum tests. The associations between frailty and hand grip strength and telomere length were determined using linear regression. RESULTS: Of the 150 enrolled participants, 131 had sufficient data for determination of frailty classification; 26% were frail with a median age of 45 years. There was a non-significant trend towards shorter telomere length in frail versus non-frail participants (p=0.07). Hand grip strength was significantly associated with telomere length (beta coefficient 0.02, 95% CI 0.004, 0.04), including after adjustment for age, SLE disease activity and organ damage, and comorbidity (beta coefficient 0.02, 95% CI 0.002, 0.04). CONCLUSIONS: Decreased hand grip strength, but not frailty, was independently associated with shortened telomere length in a cohort of non-elderly women with SLE. Frailty in this middle-aged cohort may be multifactorial rather than strictly a manifestation of accelerated ageing.

A Novel Approach for Mixed-Methods Research Using Large Language Models: A Report Using Patients' Perspectives on Barriers to Arthroplasty.

OBJECTIVE: Mixed-methods research is valuable in health care to gain insights into patient perceptions. However, analyzing textual data from interviews can be time-consuming and require multiple analysts for investigator triangulation. This study aims to explore a novel approach to investigator triangulation in mixed-methods research by employing a large language model (LLM) for analyzing data from patient interviews. METHODS: This study compared the thematic analysis and survey generation performed by human investigators and ChatGPT-4, which uses GPT-4 as its backbone model, using data from an existing study that explored patient perceptions of barriers to arthroplasty. The human- and ChatGPT-4-generated themes and surveys were compared and evaluated based on their representation of salient themes from a predetermined topic guide. RESULTS: ChatGPT-4 generated analogous dominant themes and a comprehensive corresponding survey as the human investigators but in significantly less time. The survey questions generated by ChatGPT-4 were less precise than those developed by human investigators. The mixed-methods flowchart proposes integrating LLMs and human investigators as a supplementary tool for the preliminary thematic analysis of qualitative data and survey generation. CONCLUSION: By utilizing a combination of LLMs and human investigators through investigator triangulation, researchers may be able to conduct more efficient mixed-methods research to better understand patient perspectives. Ethical and qualitative implications of using LLMs should be considered.

The Effect of Social Isolation on 1-Year Outcomes After Surgical Repair of Low-Energy Hip Fracture.

OBJECTIVES: To evaluate whether social isolation or loneliness is associated with outcomes 1 year after low-energy hip fracture. DESIGN: Prospective inception cohort study. SETTING: Academic level I trauma center. PATIENT SELECTION CRITERIA: Participants were 65 years or older and enrolled 2-4 days after surgery for a first low-energy hip fracture. Exclusion criteria were bilateral or periprosthetic hip fracture, previous hip fracture, non-English speaking, international address, active cancer, stage 4 cancer in the past 5 years, radiation to the hip region, and cognitive impairment. Participants were followed longitudinally for 1 year. OUTCOME MEASURES AND COMPARISONS: The patient-reported outcomes measurement information system (PROMIS)-29 was elicited 2-4 days postoperatively and 1 year later. Patient-reported risk factors included the Lubben Social Networks Scale and the University of California, Los Angeles Loneliness Scale, which were compared with the lower extremity activity scale and PROMIS-29 domains. RESULTS: Three hundred and twenty-five patients were enrolled. Participants had a median age of 81.7 years, were 70.9% female, and were 85.9% White. In total, 31.6% of patients were socially isolated at the time of fracture. At 1 year, 222 of the 291 subjects who were confirmed alive at 1 year provided data. Multivariable linear models were performed separately for each outcome, including lower extremity activity scale and PROMIS-29 domains. Controlling for age, sex, education, and body mass index, those who were socially isolated at the time of fracture had worse PROMIS-29 function (ß = -3.83; P = 0.02) and ability to participate in social roles (ß = -4.17; P = 0.01) at 1 year. Secondary analyses found that prefracture loneliness was associated with clinically meaningfully worse function, anxiety, depression, fatigue, sleep, pain, and ability to participate in social roles at 1 year (all P < 0.01). CONCLUSIONS: Prefracture social isolation was associated with worse outcomes 1 year after surgical repair of low-energy hip fracture. These data suggest loneliness may be more strongly associated with important patient-centric metrics than prefracture social isolation. Given the dearth of modifiable risk factors in this population, future studies are needed to evaluate whether improving social connections could affect outcomes in this rapidly growing demographic. LEVEL OF EVIDENCE: Prognostic Level I. See Instructions for Authors for a complete description of levels of evidence.

Healthcare disparities: patients' perspectives on barriers to joint replacement.

OBJECTIVE: Racial and ethnic disparities in arthroplasty utilization are evident, but the reasons are not known. We aimed to identify concerns that may contribute to barriers to arthroplasty from the patient's perspective. METHODS: We identified patients' concerns about arthroplasty by performing a mixed methods study. Themes identified during semi-structured interviews with Black and Hispanic patients with advanced symptomatic hip or knee arthritis were used to develop a questionnaire to quantify and prioritize their concerns. Multiple linear and logistic regression analyses were conducted to determine the association between race/ethnicity and the importance of each theme. Models were adjusted for sex, insurance, education, HOOS, JR/KOOS, JR, and discussion of joint replacement with a doctor. RESULTS: Interviews with eight participants reached saturation and provided five themes used to develop a survey answered by 738 (24%) participants; 75.5% White, 10.3% Black, 8.7% Hispanic, 3.9% Asian/Other. Responses were significantly different between groups (p < 0.05). Themes identified were "Trust in the surgeon" "Recovery", "Cost/Insurance", "Surgical outcome", and "Personal suitability/timing". Compared to Whites, Blacks were two-fold, Hispanics four-fold more likely to rate "Trust in the surgeon" as very/extremely important. Blacks were almost three times and Hispanics over six times more likely to rate "Recovery" as very/extremely important. CONCLUSION: We identified factors of importance to patients that may contribute to barriers to arthroplasty, with marked differences between Blacks, Hispanics, and Whites.

Comparison of two frailty definitions in women with systemic lupus erythematosus.

OBJECTIVES: Frailty is a risk factor for adverse health in systemic lupus erythematosus (SLE). The Fried phenotype (FP) and the Systemic Lupus International Collaborating Clinics Frailty Index (SLICC-FI) are common frailty metrics reflecting distinct approaches to frailty assessment. We aimed to 1) compare frailty prevalence according to both metrics in women with SLE and describe differences between frail and non-frail participants using each method and 2) evaluate for cross-sectional associations between each metric and self-report disability. METHODS: Women aged 18-70 years with SLE were enrolled. FP and SLICC-FI were measured, and agreement calculated using a kappa statistic. Physician-reported disease activity and damage, Patient Reported Outcome Measurement Information System (PROMIS) computerized adaptive tests, and Valued Life Activities (VLA) self-report disability were assessed. Differences between frail and non-frail participants were evaluated cross-sectionally, and the association of frailty with disability was determined for both metrics. RESULTS: Of 67 participants, 17.9% (FP) and 26.9% (SLICC-FI) were frail according to each metric (kappa = 0.41, p< 0.01). Compared with non-frail women, frail women had greater disease damage, worse PROMIS scores, and greater disability (all p< 0.01 for FP and SLICC-FI). After age adjustment, frailty remained associated with a greater odds of disability (FP: odds ratio [OR] 4.7, 95% confidence interval [CI] 1.2-18.8; SLICC-FI: OR 4.6, 95% CI 1.3-15.8). CONCLUSION: Frailty is present in 17.9-26.9% of women with SLE. These metrics identified a similar, but non-identical group of women as frail. Further studies are needed to explore which metric is most informative in this population.

Frailty and emergency department utilisation in adults with systemic lupus erythematosus ≤65 years of age: an administrative claims data analysis of Medicaid beneficiaries.

OBJECTIVE: Frailty is a risk factor for adverse health in adults with SLE, including those <65 years. Emergency department (ED) utilisation is high in adults with SLE, but to our knowledge, whether frailty is associated with ED use is unknown. In a large administrative claims dataset, we assessed risk of ED utilisation among frail adults with SLE ≤65 years of age relative to non-frail adults ≤65 years of age with SLE. METHODS: Using the MarketScan Medicaid subset from 2011 to 2015, we identified beneficiaries 18-65 years with SLE (≥3 SLE International Classification of Diseases, Ninth Revision codes ≥30 days apart). Comparators without a systemic rheumatic disease (SRD) were matched 4:1 on age and gender. Frailty status in 2011 was determined using two claims-based frailty indices (CFIs). We compared risk of recurrent ED utilisation among frail and non-frail beneficiaries with SLE using an extension of the Cox proportional hazard model for recurrent events data. RESULTS: Of 2262 beneficiaries with SLE and 9048 non-SRD comparators, 28.8% and 11.6% were frail, respectively, according to both CFIs. Compared with non-frail beneficiaries with SLE, frail beneficiaries with SLE had significantly higher hazard of recurrent ED use (HR 1.75, 95% CI 1.48 to 2.08). CONCLUSION: Frailty increased hazard of recurrent ED visits in frail adults ≤65 years of age with SLE relative to comparable non-frail adults with SLE. Frailty is a potential target for efforts to improve quality of care in SLE.

Diabetes, gaps in care coordination, and preventable adverse events.

OBJECTIVES: To compare the frequency of self-reported gaps in care coordination and self-reported preventable adverse events among adults with vs without diabetes. STUDY DESIGN: Cross-sectional analysis of REasons for Geographic And Racial Differences in Stroke (REGARDS) study participants 65 years and older who completed a survey on health care experiences in 2017-2018 (N = 5634). METHODS: We analyzed the association of diabetes with self-reported gaps in care coordination and with preventable adverse events. Gaps in care coordination were assessed using 8 validated questions. Four self-reported adverse events were studied (drug-drug interactions, repeat medical tests, emergency department visits, and hospitalizations). Respondents were asked if they thought these events could have been prevented with better communication among providers. RESULTS: Overall, 1724 (30.6%) participants had diabetes. Among participants with and without diabetes, 39.3% and 40.7%, respectively, reported any gap in care coordination. The adjusted prevalence ratio (aPR) for any gap in care coordination for participants with vs without diabetes was 0.97 (95% CI, 0.89-1.06). Any preventable adverse event was reported by 12.9% and 8.7% of participants with and without diabetes, respectively. The aPR for any preventable adverse event for participants with vs without diabetes was 1.22 (95% CI, 1.00-1.49). Among participants with and without diabetes, the aPRs for any preventable adverse event associated with any gap in care coordination were 1.53 (95% CI, 1.15-2.04) and 1.50 (95% CI, 1.21-1.88), respectively (P comparing aPRs = .922). CONCLUSIONS: Interventions to improve quality of care for patients with diabetes could incorporate patient-reported gaps in care coordination to aid in preventing adverse events.

Brain fog in long COVID limits function and health status, independently of hospital severity and preexisting conditions.

Importance: The U.S. government has named post-acute sequelae of COVID-19 (longCOVID) as influential on disability rates. We previously showed that COVID-19 carries a medical/functional burden at 1 year, and that age and other risk factors of severe COVID-19 were not associated with increased longCOVID risk. Long-term longCOVID brain fog (BF) prevalence, risk factors and associated medical/functional factors are poorly understood, especially after mild SARS-CoV-2 infection. Methods: A retrospective observational cohort study was conducted at an urban tertiary-care hospital. Of 1,032 acute COVID-19 survivors from March 3-May 15, 2020, 633 were called, 530 responded (59.2 ± 16.3 years, 44.5% female, 51.5% non-White) about BF prevalence, other longCOVID, post-acute ED/hospital utilization, perceived health/social network, effort tolerance, disability. Results: At approximately 1-year, 31.9% (n = 169) experienced BF. Acute COVID-19 severity, age, and premorbid cardiopulmonary comorbidities did not differ between those with/without BF at 1 year. Patients with respiratory longCOVID had 54% higher risk of BF than those without respiratory longCOVID. BF associated with sleep disturbance (63% with BF vs.29% without BF, p < 0.0001), shortness of breath (46% vs.18%, p < 0.0001), weakness (49% vs.22%, p < 0.0001), dysosmia/dysgeusia (12% vs.5%, p < 0.004), activity limitations (p < 0.001), disability/leave (11% vs.3%, p < 0.0001), worsened perceived health since acute COVID-19 (66% vs.30%, p < 0.001) and social isolation (40% vs.29%, p < 0.02), despite no differences in premorbid comorbidities and age. Conclusions and relevance: A year after COVID-19 infection, BF persists in a third of patients. COVID-19 severity is not a predictive risk factor. BF associates with other longCOVID and independently associates with persistent debility.

Long COVID in Cancer: A Matched Cohort Study of 1-year Mortality and Long COVID Prevalence Among Patients With Cancer Who Survived an Initial Severe SARS-CoV-2 Infection.

OBJECTIVES: The long-term effects of severe acute respiratory syndrome coronavirus 2 (coronavirus disease 2019 [COVID-19]) infection in patients with cancer are unknown. We examined 1-year mortality and prevalence of long COVID in patients with and without cancer after initial hospitalization for acute COVID-19 infection. METHODS: We previously studied 585 patients hospitalized from March to May 2020 with acute COVID-19 infection at Weill Cornell Medicine (117 patients with cancer and 468 age, sex, and comorbidity-matched non-cancer controls). Of the 456 patients who were discharged, we followed 359 patients (75 cancer and 284 non-cancer controls) for COVID-related symptoms and death, at 3, 6, and 12 months after initial symptom onset. Pearson χ 2 and Fisher exact tests were used to determine associations between cancer, postdischarge mortality, and long COVID symptoms. Multivariable Cox proportional hazards models adjusting for potential confounders were used to quantify the risk of death between patients with and without cancer. RESULTS: The cancer cohort had higher mortality after hospitalization (23% vs 5%, P < 0.001), a hazard ratio of 4.7 (95% CI: 2.34-9.46) for all-cause mortality, after adjusting for smoking and oxygen requirement. Long COVID symptoms were observed in 33% of patients regardless of cancer status. Constitutional, respiratory, and cardiac complaints were the most prevalent symptoms in the first 6 months, whereas respiratory and neurological complaints (eg, "brain fog" and memory deficits) were most prevalent at 12 months. CONCLUSIONS: Patients with cancer have higher mortality after hospitalization for acute severe acute respiratory syndrome coronavirus 2 infections. The risk of death was highest in the first 3 months after discharge. About one-third of all patients experienced long COVID.

Self-reported gaps in care coordination and preventable adverse outcomes among older adults receiving home health care.

BACKGROUND: Older adults see multiple outpatient providers and increasingly use home health care (HHC) services. Previous studies attempting to draw inferences about the association between HHC use and patient outcomes have been mixed. Whether HHC is associated with care coordination and how both influence outcomes are unknown. In addition, prior studies have not taken the patient perspective into account. We examined the association between receiving HHC and self-reported gaps in care coordination and separately, preventable adverse outcomes. METHODS: The analysis for this cross-sectional study was conducted between October 2021 and June 2022, using data on 4296 Medicare beneficiaries from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study who completed a survey on care coordination from 2017 to 2018. The associations between the receipt of HHC and two outcomes (a gap in care coordination, and separately, a preventable adverse event) were examined with Poisson models with robust standard errors. Potential confounders were accounted for through propensity score-based inverse probability weighting. RESULTS: Among 4296 participants, 430 (10%) received HHC and they were older and had more comorbidities and ambulatory visits than those without HHC. HHC was not associated with differences in self-reported gaps in care coordination (33.3% HHC vs. 32.5% no-HHC, p = 0.70). HHC recipients reported more preventable drug-drug interactions (9.1% vs. 4.0%, p < 0.001) but not more preventable ED visits or hospital admissions. In IPW-adjusted models, HHC was not associated with gaps in care coordination (p = 0.60) but was associated with double the risk of a preventable adverse outcome (aRR 2.06; CI: 1.37, 3.10, p < 0.001). CONCLUSIONS: HHC recipients were significantly more likely (than those without HHC) to report a potentially preventable adverse event (particularly a drug-drug interaction), suggesting an opportunity to improve patient safety by leveraging the observations of older adults receiving HHC.

Ambulatory Care Fragmentation, Emergency Department Visits, and Race: a Nationwide Cohort Study in the U.S.

BACKGROUND: It is unclear whether highly fragmented ambulatory care (i.e., care spread across multiple providers without a dominant provider) increases the risk of an emergency department (ED) visit. Whether any such association varies with race is unknown. OBJECTIVE: We sought to determine whether highly fragmented ambulatory care increases the risk of an ED visit, overall and by race. DESIGN AND PARTICIPANTS: We analyzed data for 14,361 participants ≥ 65 years old from the nationwide prospective REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort study, linked to Medicare claims (2003-2016). MAIN MEASURES: We defined high fragmentation as a reversed Bice-Boxerman Index ≥ 0.85 (≥ 75th percentile). We used Poisson models to determine the association between fragmentation (as a time-varying exposure) and ED visits, overall and stratified by race, adjusting for demographics, medical conditions, medications, health behaviors, psychosocial variables, and physiologic variables. KEY RESULTS: The average participant was 70.5 years old; 53% were female, and 33% were Black individuals. Participants with high fragmentation had a median of 9 visits to 6 providers, with 29% of visits by the most frequently seen provider; participants with low fragmentation had a median of 7 visits to 3 providers, with 50% of visits by the most frequently seen provider. Overall, high fragmentation was associated with more ED visits than low fragmentation (adjusted risk ratio [aRR] 1.31, 95% confidence interval [CI] 1.29, 1.34). The magnitude of this association was larger among Black (aRR 1.48, 95% CI 1.44, 1.53) than White participants (aRR 1.23, 95% CI 1.20, 1.25). CONCLUSIONS: Highly fragmented ambulatory care was an independent predictor of ED visits, especially among Black individuals.