Inpatient midwifery staffing levels and postpartum readmissions: a retrospective multicentre longitudinal study.

BACKGROUND: Preventing readmission to hospital after giving birth is a key priority, as rates have been rising along with associated costs. There are many contributing factors to readmission, and some are thought to be preventable. Nurse and midwife understaffing has been linked to deficits in care quality. This study explores the relationship between staffing levels and readmission rates in maternity settings. METHODS: We conducted a retrospective longitudinal study using routinely collected individual patient data in three maternity services in England from 2015 to 2020. Data on admissions, discharges and case-mix were extracted from hospital administration systems. Staffing and workload were calculated in Hours Per Patient day per shift in the first two 12-hour shifts of the index (birth) admission. Postpartum readmissions and staffing exposures for all birthing admissions were entered into a hierarchical multivariable logistic regression model to estimate the odds of readmission when staffing was below the mean level for the maternity service. RESULTS: 64 250 maternal admissions resulted in birth and 2903 mothers were readmitted within 30 days of discharge (4.5%). Absolute levels of staffing ranged between 2.3 and 4.1 individuals per midwife in the three services. Below average midwifery staffing was associated with higher rates of postpartum readmissions within 7 days of discharge (adjusted OR (aOR) 1.108, 95% CI 1.003 to 1.223). The effect was smaller and not statistically significant for readmissions within 30 days of discharge (aOR 1.080, 95% CI 0.994 to 1.174). Below average maternity assistant staffing was associated with lower rates of postpartum readmissions (7 days, aOR 0.957, 95% CI 0.867 to 1.057; 30 days aOR 0.965, 95% CI 0.887 to 1.049, both not statistically significant). CONCLUSION: We found evidence that lower than expected midwifery staffing levels is associated with more postpartum readmissions. The nature of the relationship requires further investigation including examining potential mediating factors and reasons for readmission in maternity populations.

Effects of Social Determinants and Pharmacogenetic Medication Interactions on 90-Day Hospital Readmissions.

Context: The present study builds on our prior work that demonstrated an association between pharmacogenetic interactions and 90-day readmission. Objective: Evaluate aggregate contribution of social determinants, comorbidity, and gene-x-drug interactions to moderate 90-day hospital readmission. Study Design and Analysis: Non-concurrent cohort study; Multivariable logistic regression Setting: Hospital/integrated healthcare delivery system in northern Illinois Population Studied: 19,999 adults tracked from 2010 through 2020 who underwent testing with a 13-gene pharmacogenetic panel Outcome Measure: 90-day hospital readmission (primary outcome) Results: Univariate logistic regression analyses demonstrated that strongest associations with 90 day hospital readmissions were the number of medications prescribed within 30 days of a first hospital admission that had Clinical Pharmacogenomics Implementation Consortium (CPIC) guidance (CPIC medications) (5+ CPIC medications, odds ratio (OR) = 7.66, 95% confidence interval 5.45-10.77) (p < 0.0001), major comorbidities (5+ comorbidities, OR 3.36, 2.61-4.32) (p < 0.0001), age (65 + years, OR = 2.35, 1.77-3.12) (p < 0.0001), unemployment (OR = 2.19, 1.88-2.64) (p < 0.0001), Black/African-American race (OR 2.12, 1.47-3.07) (p < 0.0001), median household income (OR = 1.63, 1.03-2.58) (p = 0.035), male gender (OR = 1.47, 1.21-1.80) (p = 0.0001), and one or more gene-x-drug interaction (defined as a prescribed CPIC medication for a patient with a corresponding actionable pharmacogenetic variant) (OR = 1.41, 1.18-1.70). Health insurance was not associated with risk of 90-day readmission. Race, income, employment status, and gene-x-drug interactions were robust in a multivariable logistic regression model. The odds of 90-day readmission for patients with one or more identified gene-x-drug interactions after adjustment for these covariates was attenuated by 10% (OR = 1.31, 1.08-1.59) (p = 0.006). Although the interaction between race and gene-x-drug interactions was not statistically significant, White patients were more likely to have a gene-x-drug interaction (35.2%) than Black/African-American patients (25.9%) who were not readmitted (p < 0.0001). Conclusions: These results highlight the major contribution of social determinants and medical complexity to risk for hospital readmission, and that these determinants may modify the effect of gene-x-drug interactions on rehospitalization risk.

Understanding Potentially Preventable 7-day Readmission Rates in Hospital Medicine Patients at a Comprehensive Cancer Center.

This study aimed to describe the potentially preventable 7-day unplanned readmission (PPR) rate in medical oncology patients. A retrospective analysis of all unplanned 7-day readmissions within Hospital Medicine at MD Anderson Cancer Center from September 1, 2020 to February 28, 2021, was performed. Readmissions were independently analyzed by 2 randomly selected individuals to determine preventability. Discordant reviews were resolved by a third reviewer to reach a consensus. Statistical analysis included 138 unplanned readmissions. The estimated PPR rate was 15.94%. The median age was 62.50 years; 52.90% were female. The most common type of cancer was noncolon GI malignancy (34.06%). Most patients had stage 4 cancer (69.57%) and were discharged home (64.93%). Premature discharge followed by missed opportunities for goals of care discussions were the most cited reasons for potential preventability. These findings highlight areas where care delivery can be improved to mitigate the risk of readmission within the medical oncology population.

Hospital Readmissions Among Patients Experiencing Homelessness: An Electronic Health Record Data Study.

BACKGROUND: Population-level tracking of hospital use patterns with integrated care organizations in patients experiencing homelessness has been difficult. A California law implemented in 2019 (Senate Bill 1152) aimed to ensure safety for this population after discharge from the hospital by requiring additional documentation for patients experiencing homelessness, which provides an opportunity to evaluate hospital use by this population. METHODS: In a large integrated health system in California, patients experiencing homelessness were identified through documentation change requirements associated with this law and compared with a matched group from the general population. RESULTS: Patients experiencing homelessness had increased rates of hospital readmission after discharge compared to the general population matched on demographics and medical comorbidity in 2019 and 2020. Any address change in the prior year for patients was associated with increased odds of emergency department readmission. Patients experiencing homelessness, both enrolled in an integrated delivery system and not, were successfully identified as having higher readmission rates compared with their housed counterparts. CONCLUSION: Documentation of housing status following Senate Bill 1152 has enabled improved study of hospital use among those with housing instability. Understanding patterns of hospital use in this vulnerable group will help practitioners identify timely points of intervention for further social and health care support.

Risks for Readmission Among Older Patients With Chronic Obstructive Pulmonary Disease: An Analysis Using Korean National Health Insurance Service - Senior Cohort Data.

OBJECTIVES: The high readmission rate of patients with chronic obstructive pulmonary disease (COPD) has led to the worldwide establishment of proactive measures for identifying and mitigating readmissions. This study aimed to identify factors associated with readmission, as well as groups particularly vulnerable to readmission that require transitional care services. METHODS: To apply transitional care services that are compatible with Korea's circumstances, targeted groups that are particularly vulnerable to readmission should be identified. Therefore, using the National Health Insurance Service's Senior Cohort database, we analyzed data from 4874 patients who were first hospitalized with COPD from 2009 to 2019 to define and analyze readmissions within 30 days after discharge. Logistic regression analysis was performed to determine factors correlated with readmission within 30 days. RESULTS: The likelihood of readmission was associated with older age (for individuals in their 80s vs. those in their 50s: odds ratio [OR], 1.59; 95% confidence interval [CI], 1.19 to 2.12), medical insurance type (for workplace subscribers vs. local subscribers: OR, 0.84; 95% CI, 0.72 to 0.99), type of hospital (those with 300 beds or more vs. fewer beds: OR, 0.77; 95% CI, 0.66 to 0.90), and healthcare organization location (provincial areas vs. the capital area: OR, 1.66; 95% CI, 1.14 to 2.41). CONCLUSIONS: Older patients, patients holding a local subscriber insurance qualification, individuals admitted to hospitals with fewer than 300 beds, and those admitted to provincial hospitals are suggested to be higher-priority for transitional care services.

The impact of a multidisciplinary goals-of-care program on unplanned readmission rates at a comprehensive cancer center.

PURPOSE: This study examined the 30-day unplanned readmission rate in the medical oncology population before and after the implementation of an institution-wide multicomponent interdisciplinary goals of care (myGOC) program. METHODS: This retrospective study compared the 30-day unplanned readmission rates in consecutive medical patients during the pre-implementation period (May 1, 2019, to December 31, 2019) and the post-implementation period (May 1, 2020, to December 31, 2020). Secondary outcomes included 7-day unplanned readmission rates, inpatient do-not-resuscitate (DNR) orders, and palliative care consults. We randomly selected a hospitalization encounter for each unique patient during each study period for statistical analysis. A multivariate analysis model was used to examine the association between 30-day unplanned readmission rates and implementation of the myGOC program. RESULTS: There were 7028 and 5982 unique medical patients during the pre- and post-implementation period, respectively. The overall 30-day unplanned readmission rate decreased from 24.0 to 21.3% after implementation of the myGOC program. After adjusting for covariates, the myGOC program implementation remained significantly associated with a reduction in 30-day unplanned readmission rates (OR [95% CI] 0.85 [0.77, 0.95], p = 0.003). Other factors significantly associated with a decreased likelihood of a 30-day unplanned readmission were an inpatient DNR order, advanced care planning documentation, and an emergent admission type. We also observed a significant decrease in 7-day unplanned readmission rates (OR [95% CI] 0.75 [0.64, 0.89]) after implementation of the myGOC program. CONCLUSION: The 30-day and 7-day unplanned readmission rates decreased in our hospital after implementation of a system-wide multicomponent GOC intervention.

[Traditional Chinese medicine may reduce the risk of readmission in patients with rheumatoid arthritis complicated with elevated platelet count: a matched cohort study].

OBJECTIVE: To evaluate the association of traditional Chinese medicine (TCM) treatment with the risk of readmission in patients with rheumatoid arthritis (RA) complicated with elevated platelet count. METHODS: We retrospectively collected the data of inpatients diagnosed with RA in our hospital from 2013 to 2021. The patients with elevated platelet count receiving TCM treatment were matched to those without TCM treatment using propensity score matching at the 1∶1 ratio, and the confounding factors were adjusted including gender, age, Chinese patent medicine, and external application. A Cox proportional hazard model was used to evaluate the hazard ratio (HR) of the risk of readmission, and a Kaplan-Meier curve was generated to assess the incidence of readmission in these patients. RESULTS: A total of 1176 RA patients with elevated platelet count were included in this study, including 842 patients in the TCM group and 334 patients in the non-TCM group, and after 1∶1 propensity score matching, 334 patients were included in each group. The Cox proportional hazards model showed that the readmission rate was significantly lower in TCM group than in non-TCM group (HR=0.59, 95% CI: 0.48-0.73, P<0.001), and TCM was a protective factor against readmission in RA patients with elevated platelet count. Kaplan-Meier curves demonstrated that long-term use of TCM helped to decrease the risk of readmission (Log-rank P<0.001). Association rules showed that the use of several Chinese herbal medicines and the Chinese patent medicine Xinfeng Capsule had a strong correlation with improvement of such clinical indicators as rheumatoid factor, erythrocyte sedimentation rate, and C-reactive protein. CONCLUSION: In RA patients with elevated platelet count, the use of TCM, as a protective factor against readmission, is strongly associated with a lowered risk of readmission with a long-term association.

Intensive Case Management to Reduce Hospital Readmissions: A Pilot Quality Improvement Project.

PURPOSE OF STUDY: Hospital readmissions burden the U.S. health care system, and they have negative effects on patients and their families. The primary aim of this study was to pilot an intensive case management (ICM) intervention to reduce 30-day hospital readmissions. A secondary aim was to obtain patient- and caregiver-reported reasons for readmission. PRIMARY PRACTICE SETTING: The setting was a vertically integrated health care system located in Northern California. METHODOLOGY AND SAMPLE: This pilot quality improvement project occurred over a 4-month period. The intervention was delivered by master's degree students in nurse case management through an academic-clinical partnership. Patients hospitalized with a 30-day readmission were offered the ICM intervention. A total of 36 patients were identified and 20 accepted. Patient and/or caregiver was interviewed to identify reasons for their readmission. Data were collected about pre-/post-health care utilization including subsequent 30-day readmission. Mixed methods were used to analyze the findings. RESULTS: Thirteen of 20 enrolled patients received the weekly ICM intervention for at least 30 days. Seven declined further contact before 30 days. Patient-reported reasons for readmission included being discharged too soon, poor communication among providers and with patients/families, lack of understanding about disease management and/or treatment options, and inadequate support. Several patients believed that their readmission was unavoidable due to the complexity of their illnesses. We compared 30-day readmissions for those who participated in and those who declined the ICM intervention, finding that those who received the ICM intervention had a lower readmission rate than those who did not receive the intervention (35% vs. 37.5%).

Implementing a Discharge Follow-up Phone Call Program Reduces Readmission Rates in an Integrated Health System.

ABSTRACT: In this study, we sought to determine the effect of implementing a large-scale discharge follow-up phone call program on hospital readmission rates. Previous work has shown that patients with unaddressed concerns during discharge have significantly higher rates of care complications and hospital readmissions. This study is an observational quality improvement project completed from April 17, 2020 to January 31, 2022 at 22 hospitals in a large, integrated academic health system. A nurse-led scripted discharge follow-up phone call program was implemented to contact all patients discharged from inpatient care within 72 hours of discharge. Readmission rates were tracked before and after project implementation. Over a 21-month span, 137,515 phone calls were placed, and 57.92% of patients were successfully contacted within 7 days of discharge. The 7-day readmission rate for contacted patients was 2.91% compared with 4.73% for noncontacted patients. The 30-day readmission rate for contacted patients was 11.00% compared with 12.17% for noncontacted patients. We have found that discharge follow-up phone calls targeting patients decreases risk of readmission, which improves overall patient outcomes.

HOMEFOOD Randomised Trial - Six-Month Nutrition Therapy in Discharged Older Adults Reduces Hospital Readmissions and Length of Stay at Hospital Up to 18 Months of Follow-Up.

BACKGROUND: Malnutrition is frequently observed in older adults and is associated with hospital readmissions, length of stay (LOS), and mortality in discharged patients. OBJECTIVE: The aim of this study was to investigate effects of six-month nutrition therapy on hospital readmissions, LOS, mortality and need for long-term care residence 1-, 6-, 12- and 18-months post-discharge in older Icelandic adults. DESIGN: Secondary analysis of a randomized controlled trial. PARTICIPANTS: Participants (>65 years) were randomised into intervention (n=53) and control (n=53) before discharge from a geriatric unit. INTERVENTION: The intervention group received nutrition therapy based on the Nutrition Care Process, including home visits, phone calls, freely delivered energy- and protein-rich foods and supplements for six months after hospital discharge. MEASUREMENTS: The Icelandic electronic hospital registry was accessed to gain information on emergency room visits (ER), hospital readmissions, LOS, mortality and need for long-term care residence. RESULTS: The intervention group had a lower proportion of participants with at least one readmission compared to control (1 month: 1.9% vs 15.8%, P=0.033; 6 months: 25.0% vs 46.2%, P=0.021; 12 months: 38.5% vs 55.8%, P=0.051; and 18 months: 51.9% vs 65.4%, P=0.107). There was also a lower total number of readmissions per participant (1 month: 0.02 vs 0.19, P=0.015; 6 month: 0.33 vs 0.77, P=0.014; 0.62 vs 1.12, P=0.044) and a shorter LOS (1 month: 0.02 vs 0.92, P=0.013; 6 months: 2.44 vs 13.21; P=0.006; 12 months: 5.83 vs 19.40, P=0.034; 18 months: 10.42 vs 26.00, P=0.033) in the intervention group. However, there were no differences between groups in ER visits, mortality and need for long-term care residence. CONCLUSION: A six-month nutrition therapy in older Icelandic adults discharged from hospital reduced hospital readmissions and shortens LOS at the hospital up to 18-months post-discharge. However, it did neither affect mortality, ER, nor need of long-term care residence in this group.

Readmission Reduction for Hyperbilirubinemia in Infants ≥ 35 Weeks Estimated Gestational Age Using a Standardized Protocol.

BACKGROUND: Most newborns experience hyperbilirubinemia. Monitoring and treatment must be balanced with the risk of unintended harm, including readmission to the birth hospital. From January 2019 to April 2021, the average rate of inborn readmission for all causes was 2.09% at the study hospital; hyperbilirubinemia accounted for 91% of these readmissions. The aim of this project was to decrease readmission rate for hyperbilirubinemia by 60% within eight months of protocol implementation. METHODS: The Lean system of quality improvement was used to assess root causes and implement countermeasures. A hyperbilirubinemia protocol was developed, and phototherapy equipment was upgraded. Monthly readmission rates were the main outcome measure. Process measures included hour of life for initial transcutaneous bilirubin measurement. Balance measures included number of serum bilirubin labs obtained per 100 infants, percentage treated with phototherapy, mean length of phototherapy treatment, and length of hospital stay. Statistical process control charts were used to measure changes in quality over time. RESULTS: Baseline data showed a monthly readmission rate for hyperbilirubinemia of 1.9%. Following countermeasure implementation, there was a clinically significant downward shift in the monthly readmission rate to 0.64%, representing a 66% decrease from baseline. CONCLUSION: Implementation of the project protocol was associated with a clinically significant decrease in readmissions for hyperbilirubinemia with no concurrent clinically significant changes in the number of labs drawn, number of infants started on phototherapy, or average length of hospital stay. For military treatment facilities or institutions with similar staffing models, this protocol may offer a model for improvement.

Comparison of surgical procedures for benign prostatic hyperplasia of medium-volume prostates: evaluation of the causes of rehospitalization from the French National Hospital Database (PMSI-MCO).

PURPOSE: In France, transurethral resection of the prostate (TURP) is still the most commonly used surgical treatment for medium sized benign prostatic hyperplasia (BPH), but the Holmium Laser Enucleation of the Prostate (HoLEP) and laser vaporization procedures are becoming more common. For these three surgical procedures, we evaluate the initial complications, the short term (3 months) and the 4-12-month postoperative complications necessitating re-hospitalization. METHODS: From the French national hospital data base (PMSI-MCO), all hospitalizations for BPH treatment in 2018 were extracted. We document the complications during the initial hospitalization and any subsequent rehospitalizations during the one-year postoperative period. RESULTS: In 2018, 67,220 patients were treated for BPH: 46,242 TURP, 13,509 HoLEP and 7469 laser vaporization. Age and anticoagulation medications were similar for men treated by the three procedures, but TURP patients were more often hypertensive. Infections and hemorrhagic complications were the most common complications at the initial hospitalization: 17%, 10%, 13% for infections and 15%, 8.1%, 11% for hemorrhagic complications respectively, and TURP performed worse than the other two procedures at the initial hospitalization. During the first three months and then the subsequent nine months, there were fewer complications than initially, with little difference between the three procedures, all differences being less than 1%. CONCLUSION: Laser vaporization techniques led to fewer complications. However, the PMSI-MCO only registers complications during hospitalizations. This study should be extended to non-hospitalized, more minor complications.

Risk factors for readmission for hyperbilirubinemia in neonates with ABO hemolytic disease: a single-center retrospective cohort study.

OBJECTIVE: ABO hemolytic disease of the newborn (ABO-HDN) is a major risk factor for severe hyperbilirubinemia, a common readmission reason for newborns. In this study, we aimed to assess the risk factors for readmission associated with hyperbilirubinemia in neonates with ABO-HDN. METHODS: A retrospective cohort study was conducted including newborns with gestational age ≥35 weeks and ABO-HDN in 2018. Among 291 newborns, 36 were readmitted for hyperbilirubinemia and defined as the readmission group. The remaining 255 cases were used as a control group. We then performed between-group comparisons of clinical conditions associated with hyperbilirubinemia. Logistic regression was used to select risk predictors of readmission associated with hyperbilirubinemia due to ABO-HDN. RESULTS: Baseline characteristics were similar between both groups (p > .05, respectively). However, total serum bilirubin (TSB) before initiating phototherapy was significantly higher in the readmission group when compared with that in the control group at 0-24 h, 24-48 h, and 48-72 h (183.70 µmol/L [interquartile range (IQR) 161.18-196.48] vs. 150.35 µmol/L [IQR 131.73-175.38], p = .005; 229.90 µmol/L [IQR 212.45-284.30] vs. 212.50 µmol/L [IQR 197.85-230.28], p = .026; 268.10 µmol/L [IQR 257.70-279.05] vs. 249.50 µmol/L [IQR 236.80-268.70], p = .045, respectively). The age of initiation of phototherapy in the readmission group was significantly lower than that in control group (30.0 h [IQR 18.0-49.00] vs. 42.0 h [IQR 23.0-61.0], p = .012). The rate of rebound hyperbilirubinemia after the first phototherapy treatment was significantly higher in the readmission group compared to that in the control group (9 [25%] vs. 13 [5.1%], p = .000), and the rate of positive direct antiglobulin testing was significantly higher than that in control group (17 [47.2%] vs. 74 [29.0%], p = .027). Logistic regression analysis showed that the age of initiation of photography, TSB level before the first phototherapy, and rebound hyperbilirubinemia after first phototherapy were independent risk factors for readmission in newborns with hyperbilirubinemia associated with ABO-HDN. CONCLUSIONS: Earlier age of phototherapy initiation, higher TSB levels at the time of initiating phototherapy and rebound hyperbilirubinemia after the first phototherapy treatment may increase the risk of readmission for hyperbilirubinemia in neonates with ABO-HDN. These factors should be considered in discharge planning and follow-up for newborns with ABO-HDN associated hyperbilirubinemia.

Increasing utilisation of a rebound hyperbilirubinaemia calculator in two newborn nurseries.

Neonatal hyperbilirubinaemia requiring phototherapy treatment is a common problem impacting the length of hospital stay and rates of hospital readmission. Previous guidelines included guidance for initiating phototherapy treatment but not for discontinuing phototherapy treatment during initial newborn admission.In response to dissatisfaction from trainees, staff and families regarding the variable approach to discontinuing phototherapy among attending nursery providers, we used quality improvement methodologies to increase utilisation of a rebound hyperbilirubinaemia calculator as a more consistent method for guiding the timing of phototherapy discontinuation. The aim was to increase utilisation of the rebound hyperbilirubinaemia calculator for newborns treated with phototherapy in two newborn nurseries to >90% within 2 years.Sequential interventions focused on increasing provider awareness of the rebound hyperbilirubinaemia calculator and making the calculator simple to access and use.At the university medical centre nursery, the use of the calculator increased from 8.7% to 100%, exceeding the project goal. In the community hospital nursery, there was a statistically significant increase in the rate of utilisation from 3.7% to 79.4%, but this fell slightly below the goal of >90%.Electronic Health Record integration, along with education and addition of prompts to providers, increased utilisation of a rebound hyperbilirubinaemia calculator as a consistent approach for guiding decisions about discontinuing phototherapy treatment in newborns.

Characteristics of Suspected COVID-19 Discharged Emergency Department Patients Who Returned During the First Wave.

INTRODUCTION: Limited information exists on patients with suspected coronavirus disease 2019 (COVID-19) who return to the emergency department (ED) during the first wave. In this study we aimed to identify predictors of ED return within 72 hours for patients with suspected COVID-19. METHODS: Incorporating data from 14 EDs within an integrated healthcare network in the New York metropolitan region from March 2-April 27, 2020, we analyzed this data on predictors for a return ED visit-including demographics, comorbidities, vital signs, and laboratory results. RESULTS: In total, 18,599 patients were included in the study. The median age was 46 years old [interquartile range 34-58]), 50.74% were female, and 49.26% were male. Overall, 532 (2.86%) returned to the ED within 72 hours, and 95.49% were admitted at the return visit. Of those tested for COVID-19, 59.24% (4704/7941) tested positive. Patients with chief complaints of "fever" or "flu" or a history of diabetes or renal disease were more likely to return at 72 hours. Risk of return increased with persistently abnormal temperature (odds ratio [OR] 2.43, 95% CI 1.8-3.2), respiratory rate (2.17, 95% CI 1.6-3.0), and chest radiograph (OR 2.54, 95% CI 2.0-3.2). Abnormally high neutrophil counts, low platelet counts, high bicarbonate values, and high aspartate aminotransferase levels were associated with a higher rate of return. Risk of return decreased when discharged on antibiotics (OR 0.12, 95% CI 0.0-0.3) or corticosteroids (OR 0.12, 95% CI 0.0-0.9). CONCLUSION: The low overall return rate of patients during the first COVID-19 wave indicates that physicians' clinical decision-making successfully identified those acceptable for discharge.

[Correlation between traditional Chinese medicine and reduced risk of readmission in rheumatoid arthritis patients with hypoproteinemia:a retrospective cohort study].

This study aimed to explore the correlation between traditional Chinese medicine(TCM) and reduced risk of readmission in patients having rheumatoid arthritis with hypoproteinemia(RA-H). A retrospective cohort study was conducted on 2 437 rheumatoid arthritis patients in the information system database of the First Affiliated Hospital of Anhui University of Chinese Medicine from 2014 to 2021, and 476 of them were found to have hypoproteinemia. The patients were divided into TCM users and non-TCM users by propensity score matching. Exposure was defined as the use of oral Chinese patent medicine or herbal decoction for ≥1 month. Cox regression analysis was performed to explore the risk factors of clinical indicators of rheumatoid arthritis. Additionally, the use of TCM during hospitalization was analyzed, and analysis of association rules was conducted to investigate the correlation between TCM, improvement of indicators and readmission of patients. Kaplan-Meier survival curve was plotted to compare the readmission rate of TCM users and non-TCM users. It was found the readmission rate of RA-H patients was significantly higher than that of RA patients. By propensity score matching, 232 RA-H patients were divided into TCM group(116 cases) and non-TCM group(116 cases). Compared with the conditions in the non-TCM group, the readmission rate of the TCM group was lowered(P<0.01), and the readmission rate of middle-aged and elderly patients was higher than that of young patients(P<0.01). Old age was a risk factor for readmission of RA-H patients, while TCM, albumin(ALB) and total protein(TP) were the protective factors. During hospitalization, the TCMs used for RA-H patients were mainly divided into types of activating blood and resolving stasis, relaxing sinew and dredging collaterals, clearing heat and detoxifying, and invigorating spleen and resolving dampness. The improvement of rheumatoid factor(RF), immunoglobulin G(IgG), erythrocyte sedimentation rate(ESR), C-reactive protein(CRP) and ALB was closely related to TCM. On the basis of western medicine treatment, the application of TCM could reduce the readmission rate of RA-H patients, and longer use of TCM indicated lower readmission rate.

Association of a Medicare Advantage Posthospitalization Home Meal Delivery Benefit With Rehospitalization and Death.

Importance: The 2018 Chronic Care Act allowed Medicare Advantage plans to have greater flexibility in offering supplemental benefits, such as meals and services, to address unmet needs of beneficiaries with certain chronic conditions. Based on earlier studies of community-based nutritional support, such programs may result in reduced use. Objective: To evaluate the association of a 4-week posthospitalization home-delivered meals benefit with 30-day all-cause rehospitalization and mortality in patients admitted for heart failure (HF) and other acute medical conditions (non-HF). Design, Setting, and Participants: In this cohort study, patients who received meals (the meals group) were compared with 2 controls: (1) no meals in the 2019 historical cohort who would have been eligible for the benefit (the no meals-2019 group) and (2) no meals in the 2021 and 2022 concurrent cohort who were referred but did not receive the meals due to unsuccessful contacts and active declines (the no meals-2021/2022 group). This study took place in a large integrated health care system in southern California among Medicare Advantage members with a hospitalization for HF or other acute medical conditions at 15 Kaiser Permanente hospitals discharged to home. Exposure: The exposure was receipt of at least 1 and up to 4 shipments of home-delivered meals (total of 56 to 84 meals) after hospital discharge. Main Outcomes and Measures: The main outcomes were 30-day all-cause composite rehospitalization and death. Results: A total of 4032 adults with admission to the hospital for HF (mean [SD] age, 79 [9] years; 1951 [48%] White; 2001 [50%] female) and 7944 with non-HF admissions (mean [SD] age, 78 [8] years; 3890 [49%] White; 4149 [52%] female) were included in the analyses. Unadjusted rates of 30-day death and rehospitalization for the meals, no meals-2019, and no meals-2021/2022 cohorts were as follows: HF: 23.3%, 30.1%, and 38.5%; non-HF: 16.5%, 22.4%, and 32.9%, respectively. For HF, exposure to meals was significantly associated with lower odds of 30-day death and rehospitalization compared with the no meals-2021/2022 cohort (OR, 0.55; 95% CI, 0.43-0.71; P < .001) but was not significant compared with the no meals-2019 cohort (OR, 0.86; 95% CI, 0.72-1.04; P = .12). For non-HF, exposure to meals was associated with significantly lower odds of 30-day death and rehospitalization when compared with the no meals-2019 (OR, 0.64; 95% CI, 0.52-0.79; P < .001) and the no meals-2021/2022 (OR, 0.48; 95% CI, 0.37-0.62; P < .001) cohorts. Conclusions and Relevance: In this cohort study, exposure to posthospitalization home-delivered meals was associated with lower 30-day rehospitalization and mortality; randomized clinical trials are needed to confirm these findings.

Preoperative Patient Optimization: Outcomes from Elective Total Joint Arthroplasty in a Large US Healthcare System.

INTRODUCTION: Patient factors are known to affect outcomes in arthroplasty surgery. A preoperative program to address modifiable factors may aid in more appropriate patient selection. We sought to assess patient selection and 90-day postoperative outcomes for total joint arthroplasty (TJA) candidates before and after implementation of a preoperative optimization protocol. METHODS: A retrospective time-trend study using data from an integrated healthcare system's total joint replacement registry was done. The study sample consisted of patients aged 18 years or older who underwent primary elective total hip arthroplasty (THA) and total knee arthroplasty (TKA) for osteoarthritis between 2009 and 2019. Patients were divided into two cohorts: procedures performed from 2009 to 2013 ("preoptimization protocol") and those from 2015 to 2019 ("postoptimization protocol"); 2014 was excluded because an evidence-based preoperative patient optimization protocol was progressively implemented throughout the year. Patient characteristics, optimization factors, and 90-day outcomes (including emergency department [ED] visits, readmission, all-cause revision, deep infection, venous thromboembolism, and mortality) were compared between the two cohorts using the Pearson chi-square test or Wilcoxon test. RESULTS: The study sample included 25,925 THA and 60,484 TKA. In the THA cohort, 10,364 (40.0%) and 15,561 (60.0%) were from the preoptimization and postoptimization cohorts, respectively. The postoptimization THA cohort saw lower rates of ED visits (12.1% vs. 9.4%, P < 0.001) and readmissions (5.6% vs. 3.8%, P < 0.001). In the TKA cohort, 24,054 (39.8%) and 36,430 (60.2%) were from the preoptimization and postoptimization cohorts, respectively. The postoptimization TKA cohort saw lower rates of ED visits (13.1% vs. 11.9%, P < 0.001), readmissions (5.6% vs. 3.0%, P < 0.001), all-cause revisions (0.5% vs. 0.3%, P = 0.003), venous thromboembolism (1.3% vs. 0.9%, P < 0.001), and mortality (0.3% vs. 0.2%, P = 0.011). DISCUSSION: An evidence-based protocol to improve patient selection based on modifiable patient factors was adopted by orthopaedic surgeons in the system and utilization of the protocol before TJA was associated with fewer postoperative complications over time. LEVEL OF EVIDENCE: Level IV.

Systematic literature review on the effectiveness and safety of paediatric hospital-at-home care as a substitute for hospital care.

The hospital landscape is shifting to new care models to meet current challenges in demand, technology, available budgets and staffing. These challenges also apply to the paediatric population, leading to a reduction in paediatric hospital beds and occupancy rates. Paediatric hospital-at-home (HAH) care is used to substitute hospital care in an attempt to bring hospital services closer to children's homes. In addition, these models attempt to avoid fragmentation of care between hospitals and the community. An important prerequisite for this paediatric HAH care is that it is safe and at least as effective as standard hospital care. The aim of this systematic review is to analyse the evidence on the impact of paediatric HAH care on hospital utilisation, patient outcomes and costs. Four bibliographic databases (Medline, Embase, Cinahl and Cochrane Library) were systematically searched for RCTs and pseudo-RCTs that studied the effectiveness and safety of short-term paediatric HAH care with a focus on models as an alternative to acute hospital admissions. Pseudo-RCTs are defined as observational studies that mimic the design of an RCT, but without randomisation. Outcomes of interest were the length of stay, acute (re)admissions, adverse health outcomes, therapy adherence, parental satisfaction or experience and costs. Only articles written in English, Dutch and French conducted in upper-middle and high-income countries and published between 2000 and 2021 were included. Quality assessment was carried out by two assessors using the Cochrane Collaboration's tool for assessing the risk of bias. Reporting is done in accordance with the PRISMA guidelines. We identified 18 (pseudo) RCTs and 25 publications of low to very low quality. Most of the included RCTs focused on the neonatal population: phototherapy for neonatal jaundice, early discharge after birth combined with outpatient neonatal care. Other RCTs focused on chemotherapy for acute lymphoblastic leukaemia, diabetes type 1 education, oxygen therapy for acute bronchiolitis, an outpatient service for children with infectious diseases and antibiotic treatment for low-risk febrile neutropenia, cellulitis and perforated appendicitis. The identified study results show that paediatric HAH care is not associated with more adverse events or hospital readmissions. The impact of paediatric HAH care on costs is less clear.  Conclusions: This review suggests that paediatric HAH care is not associated with more adverse events or hospital readmissions for various clinical indications compared to a standard hospital. Because of the low to very low level of evidence, it is worthwhile to further investigate safety, efficacy and cost effects under strict and well-controlled conditions. This systematic review provides guidance on the essential elements that should be included in HAH care programmes for each type of indication and/or intervention. What is Known: • The hospital landscape is shifting new models of care to meet current challenges in demand, technology, staffing and models of care. Paediatric HAH care is one of these models. Previous literature reviews are inconclusive whether this is a safe and effective way of providing care. What is New: • New evidence suggests that paediatric HAH care for various clinical indications is not associated with adverse events or hospital readmissions compared to a standard hospital. Current evidence is characterised by a low level of quality.  • The current review provides guidance on the essential elements that should be included in HAH care programmes for each type of indication and/or intervention.

Safeguarding survival: Older persons with multiple chronic conditions' unplanned readmission experiences: A mixed methods systematic review.

AIMS AND OBJECTIVES: The aim of this study was to create a holistic understanding of the psychosocial processes of older persons with multiple chronic conditions' experience with unplanned readmission experiences within 30 days of discharge home and identify factors influencing these psychosocial processes. DESIGN: Mixed methods systematic review. DATA SOURCES: Six electronic databases (Ovid MEDLINE (R) All 1946-present, Scopus, CINAHL, Embase, PsychINFO and Web of Science). REVIEW METHODS: Peer-reviewed articles published between 2010 and 2021 and addressed study aims (n = 6116) were screened. Studies were categorised by method: qualitative and quantitative. Qualitative data synthesis used a meta-synthesis approach and applied thematic analysis. Quantitative data synthesis used vote counting. Data (qualitative and quantitative) were integrated through aggregation and configuration. RESULTS: Ten articles (n = 5 qualitative; n = 5 quantitative) were included. 'Safeguarding survival' described older persons' unplanned readmission experience. Older persons experienced three psychosocial processes: identifying missing pieces of care, reaching for lifelines and feeling unsafe. Factors influencing these psychosocial processes included chronic conditions and discharge diagnosis, increased assistance with functional needs, lack of discharge planning, lack of support, increased intensity of symptoms and previous hospital readmission experiences. CONCLUSIONS: Older persons felt more unsafe as their symptoms increased in intensity and unmanageability. Unplanned readmission was an action older persons required to safeguard their recovery and survival. RELEVANCE TO CLINICAL PRACTICE: Nurses play a critical role in assessing and addressing factors that influence older persons' unplanned readmission. Identifying older persons' knowledge about chronic conditions, discharge planning, support (caregivers and community services), changes in functional needs, intensity of symptoms and past readmission experiences may prepare older persons to cope with their return home. Focusing on their health-care needs across the continuum of care (community, home and hospital) will mitigate the risks for unplanned readmission within 30 days of discharge. REPORTING METHOD: PRISMA guidelines. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution due to design.