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Philip W Stone,1 Michael Osen,2 Andrew Ellis,2 Rebecca Coaker,2 Jennifer K Quint1 1National Heart and Lung Institute/School of Public Health, Imperial College London, London, UK; 2Taskforce for Lung Health, London, UKCorrespondence: Philip W Stone, National Heart and Lung Institute/School of Public Health, Imperial College London, Sir Michael Uren Hub, 86 Wood Lane, London, W12 0BZ, UK, Email p.stone@imperial.ac.ukBackground: There is considerable variation in reported chronic obstructive pulmonary disease (COPD) prevalence internationally, partly due to differing definitions in use. Accurate estimates of disease prevalence are important for allocation of health-care resources, yet UK estimates of COPD prevalence have not been updated for a decade. We calculated yearly COPD prevalence in England between 2000 and 2019 using different definitions of COPD.Methods: We used routinely collected primary care electronic healthcare record (EHR) data from the Clinical Practice Research Datalink (CPRD) Aurum database linked with secondary care data from the Hospital Episode Statistics (HES) Admitted Patient Care (APC) database. Mid-year point prevalence was calculated yearly from 2000 to 2019 in English adults aged ≥ 40 years using 5 definitions: (i) validated COPD, (ii) Quality and Outcomes Framework (QOF) COPD, (iii) COPD symptoms, inhaler prescription, and no asthma diagnosis, (iv) hospitalisation with COPD as any diagnosis, (v) hospitalisation with COPD as primary or secondary diagnosis. Prevalence was further stratified by gender, age group, and region.Results: A total of 12,745,793 people were included over the 20-year period. Annual cohort sizes ranged from 4,373,538 in 2000 to 6,159,496 in 2019. Estimates of COPD prevalence increased every year from 2000 and the difference in estimated prevalence between the validated and QOF definitions has grown over time. In 2019, a COPD prevalence of 4.9% was found using validated events in either primary or secondary care (definition 1 or definition 5). Additionally, including potentially undiagnosed cases (definition 3) in the COPD definition produced an increased prevalence of 6.7%.Conclusion: Common definitions of COPD (eg, QOF codes), may underestimate the true prevalence. The extent of this underestimate has increased over time and could lead to under-allocation of resources where need is estimated based on these definitions. Standardisation of COPD coding in routine EHRs and metrics such as spirometry is key to accurate disease monitoring.Keywords: prevalence, England, chronic obstructive pulmonary disease, COPD, clinical practice research datalink, CPRD

Philip W Stone,1 Cosetta Minelli,1 Johanna Feary,1 C Michael Roberts,2 Jennifer K Quint,1,2,* John R Hurst2,3,* 1National Heart and Lung Institute, Imperial College London, London, UK; 2National Asthma and COPD Audit Programme, Royal College of Physicians of London, London, UK; 3UCL Respiratory, University College London, London, UK*These authors contributed equally to this workCorrespondence: John R Hurst, UCL Respiratory, University College London, London, UK, Email j.hurst@ucl.ac.ukIntroduction: There is currently no accepted way to risk-stratify hospitalised exacerbations of chronic obstructive pulmonary disease (COPD). We hypothesised that the revised UK National Early Warning Score (NEWS2) calculated at admission would predict inpatient mortality, need for non-invasive ventilation (NIV) and length-of-stay.Methods: We included data from 52,284 admissions for exacerbation of COPD. Data were divided into development and validation cohorts. Logistic regression was used to examine relationships between admission NEWS2 and outcome measures. Predictive ability of NEWS2 was assessed using area under receiver operating characteristic curves (AUC). We assessed the benefit of including other baseline data in the prediction models and assessed whether these variables themselves predicted admission NEWS2.Results: 53% of admissions had low risk, 24% medium risk and 23% a high risk NEWS2 in the development cohort. The proportions dying as an inpatient were 2.2%, 3.6% and 6.5% by NEWS2 risk category, respectively. The proportions needing NIV were 4.4%, 9.2% and 18.0%, respectively. NEWS2 was poorly predictive of length-of-stay (AUC: 0.59[0.57– 0.61]). In the external validation cohort, the AUC (95% CI) for NEWS2 to predict inpatient death and need for NIV were 0.72 (0.68– 0.77) and 0.70 (0.67– 0.73). Inclusion of patient demographic factors, co-morbidity and COPD severity improved model performance. However, only 1.34% of the variation in admission NEWS2 was explained by these baseline variables.Conclusion: The generic NEWS2 risk assessment tool, readily calculated from simple physiological data, predicts inpatient mortality and need for NIV (but not length-of-stay) at exacerbations of COPD. NEWS2 therefore provides a classification of hospitalised COPD exacerbation severity.Keywords: COPD, exacerbation, hospital, NEWS2, severity

Philip W Stone,1 Katherine Hickman,2 Michael C Steiner,3 C Michael Roberts,4,5 Jennifer K Quint,1,* Sally J Singh3,* 1National Heart and Lung Institute, Imperial College London, London, UK; 2West Yorkshire and Harrogate Health and Care Partnership, Bradford, Yorkshire, UK; 3NIHR Leicester Respiratory Biomedical Research Centre, Department of Respiratory Sciences, University of Leicester, Leicester, UK; 4Royal College of Physicians, London, UK; 5QMUL, London, UK*These authors contributed equally to this workCorrespondence: Philip W Stone Email p.stone@imperial.ac.ukBackground: A large proportion of people with COPD are not referred to pulmonary rehabilitation (PR) despite its proven benefits. No previous studies have examined predictors of referral to PR.Objective: To determine the characteristics of people with COPD associated with referral to PR.Methods: Cross-sectional analysis of a primary care cohort of 82,696 Welsh people with COPD generated as part of a UK national audit of COPD care. Data represent care received by patients as of 31/03/2017. Referral to PR was defined as any code in the patient record indicating referral to PR in the last 3 years. Potential predictors of referral to PR were chosen based on clinical judgement and data availability. Independent predictors of PR referral were determined using backward stepwise mixed-effects logistic regression with a random effect for practice. Variables assessed were: age, gender, deprivation, MRC recorded in past year, MRC grade, smoking status recorded in past year, smoking status, number of exacerbations in past year, inhaled therapy prescription, influenza vaccination, and comorbidities of diabetes, hypertension, coronary heart disease, stroke, heart failure, lung cancer, asthma, bronchiectasis, depression, anxiety, severe mental illness, osteoporosis, and painful condition.Results: A total of 13,297 people (16%) with COPD were referred from primary care for PR. Patients with a comorbidity of bronchiectasis or depression, MRC recorded in the last year, higher MRC grade, more exacerbations in the last year, a greater level of inhaled therapy, an influenza vaccination, or were an ex-smoker had significantly higher odds of referral to PR. Patients that were older, female, more deprived, or had a comorbidity of diabetes, asthma, or painful condition had significantly lower odds of referral to PR.Conclusion: Generally appropriate patients are being prioritised for PR referral; however, it is concerning that women, current smokers, and more deprived patients appear to have lower odds of referral.Keywords: COPD, chronic obstructive pulmonary disease, GP, general practitioner, observational study

Chenjuan Ma,1 Jingjing Shang,2 Patricia W Stone3 1The National Database of Nursing Quality Indicators, University of Kansas Medical Center, Kansas City, KS, 2Columbia University School of Nursing, 3Center for Health Policy, Columbia University School of Nursing, New York, NY, USA Background: Readmissions have been targeted as events that can improve quality of care while reducing health care expenditures. While increasing evidence has linked nurse work environment to various patient outcomes, no systematic review has assessed evidence examining nurse work environment in relation to readmission. Methods: This review was guided by the Institute of Medicine's Standards for Systematic Reviews. Comprehensive searches were conducted in PubMed, CINAHL, and PsycINFO, and were complemented by hand searching. Two reviewers independently completed full-text review and quality assessment using a validated tool. Results: Ten studies met the inclusion criteria and were included for final review. Various methods were used to measure readmission and nurse work environment, and analyses were conducted at both the patient and hospital levels. Overall, associations between nurse work environment and readmission emerged, and better nurse work environments (particularly higher levels of nurse staffing) were associated with fewer readmissions. Discussion: The interpretation of results from each study was limited by the differences in variable measures across studies and methodological flaws. The relationship between nurse work environment and readmission needs to be further confirmed by stronger evidence from studies using standardized measures and more rigorous research design. Keywords: nurse work environment, nurse staffing, readmission, nursing, patient outcome

Background: The enormous fiscal pressures facing trauma centers may lead trauma centers to reduce nurse staffing and to make increased use of less expensive and less skilled personnel. The impact of nurse staffing and skill mix on trauma outcomes has not been previously reported. The goal of this study was to examine whether nurse staffing levels and nursing skill mix are associated with trauma patient outcomes. Methods: We used data from the Healthcare Cost and Utilization Project Nationwide Inpatient Sample to perform a cross-sectional study of 70,142 patients admitted to 77 Level I and Level II centers. Logistic regression models were used to examine the association between nurse staffing measures and (1) mortality, (2) healthcare associated infections (HAI), and (3) failure-to-rescue. We controlled for patient risk factors (age, gender, injury severity, mechanism of injury, comorbidities) and hospital structural characteristics (trauma center status - Level I versus Level II, hospital size, ownership, teaching status, technology level, and geographic region). Results: A 1% increase in the ratio of licensed practical nurse (LPN) to total nursing time was associated with a 4% increase in the odds of mortality (adj OR 1.04; 95% CI: 1.02-1.06; p = 0.001) and a 6% increase in the odds of sepsis (adj OR 1.06: 1.03-1.10; p < 0.001). Hospitals in the highest quartile of LPN staffing had 3 excess deaths (95% CI: 1.2, 5.1) and 5 more episodes of sepsis (95% CI: 2.3, 7.6) per 1000 patients compared to hospitals in the lower quartile of LPN staffing. © 2012 Glance et al.; licensee BioMed Central Ltd.

Standardized terminologies, such as the Nursing Interventions Classification (NIC) taxonomy, may be used in multiple ways to represent nursing constructs. This study is the first known to explore the NIC as a framework for the development of a nursing workload measure. While the NIC may not represent the complexity of nurses' work, the classification system may represent uniformly the work of nurses in health information systems to yield reliable data for a nursing workload measure. [ABSTRACT FROM AUTHOR]

Annually, approximately 2 million patients suffer with healthcare-associated infections (HAIs) in the USA, and nearly 90,000 are estimated to die. The overall direct cost of HAIs to hospitals ranges from US$28 billion to 45 billion. While the range is wide, HAIs are clearly expensive. In addition, most HAIs are thought to be preventable; however, published guidelines are not congruent. Important policy changes include mandating hospitals to publically report HAI rates and a federal pay-for-performance measure that will no longer allow Medicare to pay more for patients with HAIs. Further rigorous economic evaluations of specific interventions, as well as on evaluations of the policies, are required. [ABSTRACT FROM AUTHOR]

BACKGROUND: The nature of infection prevention and control is changing; however, little is known about current staffing and structure of infection prevention and control programs. METHODS: Our objectives were to provide a snapshot of the staffing and structure of hospital-based infection prevention and control programs in the United States. A Web-based survey was sent to 441 hospitals that participate in the National Healthcare Safety Network. RESULTS: The response rate was 66% (n = 289); data were examined on 821 professionals. Infection preventionist (IP) staffing was significantly negatively related to bed size, with higher staffing in smaller hospitals (P < .001). Median staffing was 1 IP per 167 beds. Forty-seven percent of IPs were certified, and 24 percent had less than 2 years of experience. Most directors or hospital epidemiologists were reported to have authority to close beds for outbreaks always or most of the time (n = 225, 78%). Only 32% (n = 92) reported using an electronic surveillance system to track infections. CONCLUSION: This study is the first to provide a comprehensive description of current infection prevention and control staffing, organization, and support in a select group of hospitals across the nation. Further research is needed to identify effective staffing levels for various hospital types as well as examine how the IP role is changing over time. [ABSTRACT FROM AUTHOR]

BACKGROUND: State-based laws for reporting of health care-associated infections (HAI) have developed and changed dramatically in recent years, affecting the costs of reporting and impact on infection rates. It is necessary for practitioners of infection control to understand these changing legal frameworks and their application to practice. METHODS: Employing systematic state-based research, the researchers have documented legislation and administrative regulations for institution-specific HAI reporting, using this information to create a comprehensive resource on state-based laws for mandatory HAI reporting. RESULTS: As of August 27, 2007, 24 states have adopted laws requiring reporting of HAI rates, with an additional 7 states currently considering legislation that would require HAI reporting and 19 states employing detailed regulation in the absence of any current legislative authorization specific to HAI. This study documents (1) which states require reporting of HAI and, if so, whether this is done by legislation or administrative regulation; (2) whether the specific HAIs to be reported are identified in state law or codified generally as 'diseases of public health importance,' with reporting specified by administrative regulation; and (3) what reporting policies and procedures are detailed in law. CONCLUSION: Through analysis of the collected information, the researchers have examined the degree to which states have modernized their respective public health laws to approach mandatory reporting by way of general legislation regarding 'matters of public health importance' and subsequent detailed administrative regulation to specify those matters. [ABSTRACT FROM AUTHOR]

The context for nursing informatics research has changed significantly since the National Institute of Nursing Research-funded Nursing Informatics Research Agenda was published in 1993 and the Delphi study of nursing informatics research priorities reported a decade ago. The authors focus on 3 specific aspects of context-genomic health care, shifting research paradigms, and social (Web 2.0) technologies-that must be considered in formulating a nursing informatics research agenda. These influences are illustrated using the significant issue of healthcare associated infections (HAI). A nursing informatics research agenda for 2008-18 must expand users of interest to include interdisciplinary researchers; build upon the knowledge gained in nursing concept representation to address genomic and environmental data; guide the reengineering of nursing practice; harness new technologies to empower patients and their caregivers for collaborative knowledge development; develop user-configurable software approaches that support complex data visualization, analysis, and predictive modeling; facilitate the development of middle-range nursing informatics theories; and encourage innovative evaluation methodologies that attend to human-computer interface factors and organizational context. [ABSTRACT FROM AUTHOR]

Over the last 15 years, evidence has been accumulating relating higher levels of nurse staffing in both quantity and experience to lower rates of adverse patient outcomes. Consequently, to promote quality patient outcomes efficiently, making staffing decisions based in evidence is of increasing importance. However, there is still limited data to help decide how to effectively allocate scarce nurse resources in practice. Existing principles, frameworks, and guidelines provide a foundation for nurse staffing decisions but face poor adoption. To determine optimal nurse staffing practices and provide evidence-based recommendations for policy, and integration into operations, comprehensive data are necessary. Information technology can assist nurse staffing decisions. Four informatics processes that may support evidence-based nurse staffing are described: (a) Data acquisition from multiple data sources, (b) Representation of data in a way it can be re-used for multiple purposes, (c) Sophisticated data processing and mining, and (d) Presentation of data in standardized and user-configurable ways. [ABSTRACT FROM AUTHOR]

BACKGROUND: Many states have or are in process of legislating hospitals to report health care-associated infections (HAI). The purpose of this article is to compare two methods currently in use by different states: 1) selected infections due to medical care Patient Safety Indicator (PSI-7); and 2) Centers for Disease and Prevention Control (CDC) protocols for central line-associated bloodstream infections (CLA-BSI). METHODS: Data came from a multihospital study. Site coordinators provided lists of elderly Medicare patients admitted in an enrolled intensive care unit in 2002 cross referenced with patient specific data on CLA-BSI following CDC protocols. PSI-7 was identified using Medicare data and the Agency for Healthcare Research and Quality PSI software version 2.1. RESULTS: The full sample comprised records from 14,637 patients from 41 intensive care units in 24 hospitals. Patients were excluded if they did not meet the PSI-7 denominator criteria. In a sample of 9,948 patients, both methods identified infections in 89 (0.89%) patients. The methods had little concordance with only 8 patients identified using both methods. CONCLUSIONS: Inconsistencies that we identified in this study are concerning given the fact that reports of HAI generated by different methods vary widely. Mandatory reporting mechanisms should be standardized and their accuracy confirmed. [ABSTRACT FROM AUTHOR]

OBJECTIVE: The objective of this study was to determine relationships between organizational climate (OC) factors and occupational health outcomes (lost workdays, musculoskeletal injury, blood and body fluid exposures, injuries, and burnout) among hospital-based nurses. METHODS: Measures were obtained through a self-administered, anonymous survey distributed in 13 New York City hospitals. Multivariate models appropriate for clustered data were developed. These analyses controlled for nurse and employment characteristics. Independent effects of OC factors were examined. RESULTS: Surveys from 2047 predominantly registered nurses were obtained (response rate 50%). More than 75% reported lost workdays due to illness in the previous 4-month period and over one third reported experiencing some type of injury. OC factors were independently associated with injuries and measures of burnout (P < or = 0.05). CONCLUSIONS: OC is significantly associated with the health and well-being of hospital nurses. [ABSTRACT FROM AUTHOR]

BACKGROUND: Many nurses desire 12-hour shifts. However, there are concerns about implementation. OBJECTIVE: We sought to compare the effects of 8- and 12-hour shifts on nurse, system, and quality patient care outcomes. METHODS: We used a cross-sectional design with data collected from multiple sources in 2003-2004, including a nurse survey and administrative and patient records. We studied hospital nurses and patients in general adult wards, with outcomes including burnout, job satisfaction, scheduling satisfaction, preferences, intention to stay, and employee safety. System outcomes included recruitment and turnover, staffing, absenteeism, and related costs. A variety of quality patient care outcomes were measured from the 3 different types of data. RESULTS: Thirteen New York City hospitals participated; 805 surveys were examined from 99 nursing units (response rate 42%). Compared with nurses working 8-hour shifts, those working 12-hour shifts were on average more satisfied with their jobs, experienced less emotional exhaustion, 10 times more likely to be satisfied with schedules, 2 times as likely to perceive 12-hour schedules as important, and 58% less likely to report missing shifts; units with 12-hour shifts had lower vacancy rates and weeks to fill the position (all P values < or =0.05). There were no differences in patient outcomes. CONCLUSIONS: Nurses working 12-hour shifts were more satisfied. There were no differences in quality outcomes. Flexibility and choice in shift length are important elements in a positive nurse work environment. This study represents an innovative attempt by a labor-management bargaining group to make an evidence-based decision. We encourage others to conduct similar studies. [ABSTRACT FROM AUTHOR]

Research about the economic impact of nurse turnover has been compromised by a lack of consistent definitions and measurement. This article describes a study that was designed to refine a methodology to examine the costs associated with nurse turnover. Nursing unit managers responded to a survey that contained items relating to budgeted full-time equivalents, new hires, and turnover, as well as direct and indirect costs. The highest mean direct cost was incurred through temporary replacements, whereas the highest indirect cost was decreased initial productivity of the new hire. The study allowed the identification of the availability of data and where further refinement of data definition of variables is needed. The results provided significant evidence to justify increased emphasis on nurse retention strategies and the creation of healthy work environments for nurses. [ABSTRACT FROM AUTHOR]

OBJECTIVE: The purposes of this study were to a) estimate the incidence of intensive care units nurses' intention to leave due to working conditions; and b) identify factors predicting this phenomenon. DESIGN: Cross-sectional design. SETTING: Hospitals and critical care units. SUBJECTS: Registered nurses (RNs) employed in adult intensive care units. INTERVENTIONS: Organizational climate, nurse demographics, intention to leave, and reason for intending to leave were collected using a self-report survey. MEASUREMENTS AND MAIN RESULTS: Nurses were categorized into two groups: a) those intending to leave due to working conditions; and b) others (e.g., those not leaving or retirees). The measure of organizational climate had seven subscales: professional practice, staffing/resource adequacy, nurse management, nursing process, nurse/physician collaboration, nurse competence, and positive scheduling climate. Setting characteristics came from American Hospital Association data and a survey of chief nursing officers. RESULTS: A total of 2,323 RNs from 66 hospitals and 110 critical care units were surveyed across the nation. On average, the RN was 39.5 yrs old (SD = 9.40), had 15.6 yrs (SD = 9.20) experience in health care, and had worked in his or her current position for 8.0 yrs (SD = 7.50). Seventeen percent (n = 391) of the respondents indicated intending to leave their position in the coming year. Of those, 52% (n = 202) reported that the reason was due to working conditions. Organizational climate factors that had an independent effect on intensive care unit nurse intention to leave due to working conditions were professional practice, nurse competence, and tenure (p < .05). CONCLUSIONS: Improving professional practice in the work environment and clinical competence of the nurses as well as supporting new hires may reduce turnover and help ensure a stable and qualified workforce. [ABSTRACT FROM AUTHOR]

BACKGROUND: Although many peer-reviewed journals have adopted standards for reporting cost-effectiveness analyses (CEAs), guidelines do not exist for the accompanying abstracts. Abstracts are the most easily accessed portion of journal articles, yet little is known about their quality. The authors examined the extent to which abstracts of published CEAs include key data elements (intervention, comparator, target population, study perspective) and assessed the effect of journal characteristics on reporting quality. METHODS: .Systematic review of the English-language medical literature from 1998 through 2001. The authors searched MEDLINE for original CEAs reported in costs per quality-adjusted life years(i.e., cost-utility analyses). Two independent readers abstracted data elements and met to resolve discrepancies. RESULTS: . Among the 303 abstracts reviewed, a clear description of the intervention was present in 94%, comparator in 71%, target population in 85%, and study perspective in 28%. All 4 data elements were reported in 20% of abstracts, 3 elements in 49%, 2 in 22%, and 0 or 1 in 9%. In journals with CEA-specific abstract reporting requirements, structured abstract requirements, or impact factors >/= 10, significantly more data were included in abstracts than in journals without these features (P < 0.01 for all comparisons). CONCLUSIONS: . Abstracts of published CEAs frequently omit data elements critical to proper study interpretation. An explicit core set of reporting standards is needed, based on the standards by the US Public Health Service's Panel on Cost-Effectiveness for reporting of CEAs, but specific to the accompanying abstracts. [ABSTRACT FROM AUTHOR]

PURPOSE: To review different types of economic analyses commonly found in healthcare literature, discuss methodologic considerations in framing economic analyses, identify useful resources for economic evaluations, and describe the current and potential roles of standardized nursing terminologies in providing cost and outcome data for economic analysis. DATA SOURCES: The Advanced Billing Concepts Code Resource-based Relative Value Scale and Nursing Outcomes Classification. DATA SYNTHESIS: Using case studies, the applicability of standardized nursing terminologies in cost-effectiveness analysis is demonstrated. While there is potential to inform specific questions, comparisons across analyses are limited because of the many outcome measures. CONCLUSIONS: Including a standardized quality-of-life measure in nursing terminologies would allow for the calculation of accepted outcome measures and dollars per quality adjusted life years gained. IMPLICATIONS FOR PRACTICE: The nurse's ability to assess and contribute to all aspects of rigorous economic evidence is an essential competency for responsible practice. [ABSTRACT FROM AUTHOR]

The cost and quality of two hand hygiene regimens were compared. A waterless alcohol-based rub was significantly less costly than traditional handwashing because of reduced time required, and was associated with significantly better quality. [ABSTRACT FROM AUTHOR]

OBJECTIVE: The purpose of this economic analysis was to determine the actual costs of care of two different models of prenatal and childbirth care for low-risk pregnant women. The two models of prenatal and childbirth care for low-risk pregnancy were: (a) a freestanding birth center (FSBC) and (b) a medical model of care (MC). DESIGN: Comparative. SETTING: Obstetric practices in a rural Central New York community. POPULATION: A non-random convenience sample of birth-center-eligible pregnant women was recruited at 34-36 weeks' gestation. Sixty-nine subjects were enrolled in the FSBC group and 7 in MC. Most women were in their late-20s. INTERVENTIONS: Based on the FSBC's written policy and procedure for establishing birth center eligibility, a 65-item instrument was developed assimilating data from the initial prenatal database, antepartum factors, laboratory data, and diagnostic findings. Cost data came from the institutional stepdown report, office profit and loss statements, census reports, and billing reports. MAIN OUTCOME MEASURE(S): In the FSBC group, total prenatal costs were significantly higher compared to the MC group. Examining the components of prenatal care, it was found that the costs of diagnostic tests were significantly less in the FSBC group. However, the costs associated with visits were significantly more. Childbirth care was significantly less expensive in the FSBC group. When costs for the entire maternity care episode were summed, the MC model of care, on average, did not differ from FSBC care. When the sensitivity analysis was conducted investigating the impact of the under-capacity burden at the FSBC, the results were impressive. The FSBC has the potential to decrease prenatal care costs by more than $1,000 per patient, resulting in much lower costs than the MC model of care. RESULTS/CONCLUSIONS: The results of this study should be interpreted with caution. The practices included were limited to one rural community. Although in this economic evaluation an attempt was made to be comprehensive and include actual cost data based on volume and expense, some of the cost data were based on the stepdown reports with the institution's allocation of overhead, and thus, may reflect cost-shifting, not actual cost of care. From the results of this analysis, it may be concluded that if this FSBC is going to be a viable option, increasing the number of births per provider is necessary to be most efficient. As providers in the FSBC model of care strive to increase volume to increase efficiency;, commitment to the philosophy of care must be maintained to realize the most positive cost and quality outcomes. [CINAHL abstract] [ABSTRACT FROM AUTHOR]

Increasingly nursing will need to prove the cost effectiveness of alternative models of care. A cost-effectiveness analysis, using a decision analysis format, compared a birthing center to a hospital for low-risk deliveries. Results indicate that a birth center is a cost-effective model of nursing care. [ABSTRACT FROM AUTHOR]

Importance: Delaying elective noncardiac surgery after a recent acute myocardial infarction is associated with better outcomes, but current American Heart Association recommendations are based on data that are more than 20 years old., Objective: To examine the association between the time since a non-ST-segment elevation myocardial infarction (NSTEMI) and the risk of postoperative major adverse cardiovascular and cerebrovascular events (MACCE)., Design, Setting, and Participants: This cross-sectional study examined Medicare claims data between 2015 and 2020 for patients 67 years or older who had major noncardiac surgery. Data were analyzed from September 21, 2023, to February 1, 2024., Exposure: Time elapsed between a prior NSTEMI and surgery., Main Outcomes and Measures: MACCE (30-day mortality, in-hospital myocardial infarction, heart failure, or stroke) and all-cause 30-day mortality. Multivariable logistic regression was used to estimate the association between outcomes and time since a prior NSTEMI., Results: The sample included 5 227 473 surgeries. The mean (SD) age was 75.7 (6.6) years; 2 981 239 (57.0%) were female, and 2 246 234 (43%) were male. There were 42 278 patients (0.81%) with a previous NSTEMI. Compared with patients without a prior NSTEMI, patients with an NSTEMI within 30 days of elective surgery had higher odds of MACCE, regardless of whether they had undergone coronary revascularization (adjusted odds ratio [aOR], 2.15; 95% CI, 1.09-4.23; P = .03) or not (aOR, 2.04; 95% CI, 1.31-3.16; P = .001). The odds of postoperative MACCE leveled off after 30 days in patients who had undergone any coronary revascularization procedure (and after 90 days in patients with drug-eluting stents) and then increased after 180 days (any revascularization at 181-365 days: aOR, 1.46; 95% CI, 1.25-1.71; P < .001; patients with drug-eluting stents at 181-365 days: aOR, 1.73; 95% CI, 1.42-2.12; P < .001). The odds of MACCE did not level off for patients who did not have revascularization. Findings for all-cause 30-day mortality were similar to those for MACCE, except that the odds of mortality in patients with previous NSTEMI who had revascularization leveled off after 60 days in elective surgeries and 90 days for nonelective surgeries (elective 30-day: aOR, 2.88; 95% CI, 1.30-6.36; P = .009; elective 61- to 90-day: aOR, 1.03; 95% CI, 0.57-1.86; P = .92; nonelective 30-day: aOR, 1.91; 95% CI, 1.52-2.40; P < .001; nonelective 91- to 120-day: aOR, 1.00; 95% CI, 0.73-1.37; P = .99)., Conclusions and Relevance: This study found that among older patients undergoing noncardiac surgery who had revascularization, the odds of postoperative MACCE and mortality leveled off between 30 and 90 days and then increased after 180 days. The odds did not level off for patients who did not have revascularization. Delaying elective noncardiac surgery to occur between 90 and 180 days after an NSTEMI may be reasonable for patients who have had revascularization.

Aim: To assess the acceptability of a symptom self-management booklet among older Chinese Americans receiving kidney replacement therapy., Background: In previous work, we identified commonly occurring, bothersome symptoms and strategies used in this population to ameliorate symptoms. We used these data to develop a symptom self-management booklet in English, traditional, and simplified Chinese., Introduction: In the United States, the prevalence of kidney disease is 1.5 times higher in Asians compared to whites. With the many symptoms associated with this disease, self-management of symptoms would be particularly helpful., Methods: Seven older Chinese Americans receiving kidney replacement therapy and their caregivers were interviewed to assess the acceptability of the booklets. We reviewed participant feedback on content, graphics, and design, reading experience, suggestions for improvement, and health information sources using the inductive thematic method., Results: Overall, patients confirmed acceptability of these self-management booklets across all domains. Discussion . This study validated the booklet as a source of health information for older Chinese American patients with kidney disease, which some studies suggest are preferred to electronic materials or methods in this population. Health care providers can use the resultant booklets when caring for these patients to provide culturally sensitive information on self-management of symptoms. Conclusion and Implications for Nursing . These booklets provide a free resource tailored to an underserved population and may help nurses and nurse practitioners provide care with cultural humility. Implications for Health Policy . Embracing community-based participatory research, as was done in this study, can help create culturally appropriate patient education materials that empower patient symptom self-management and promote informative and culturally sensitive conversations between patients, families, and providers., Competing Interests: The authors declare that they have no conflicts of interest., (Copyright © 2024 Carolyn Sun et al.)

Importance: Marginalized populations have been disproportionately affected by the COVID-19 pandemic. Critically ill patients belonging to racial and ethnic minority populations treated in hospitals operating under crisis or near-crisis conditions may have experienced worse outcomes than White individuals., Objective: To examine whether hospital strain was associated with worse outcomes for older patients hospitalized with sepsis and whether these increases in poor outcomes were greater for members of racial and ethnic minority groups compared with White individuals., Design, Setting, and Participants: In this cross-sectional study, multivariable regression analysis was conducted to assess differential changes in all-cause 30-day mortality and major morbidity among older racial and ethnic minoritized individuals hospitalized with sepsis compared with White individuals and changes in hospital strain using Medicare claims data. Data were obtained on patients hospitalized between January 1, 2016, and December 31, 2021, and analyzed between December 16, 2023, and July 11, 2024., Exposure: Time-varying weekly hospital percentage of inpatients with COVID-19., Main Outcomes and Measures: Composite of all-cause 30-day mortality and major morbidity., Results: Among the 5 899 869 hospitalizations for sepsis (51.5% women; mean [SD] age, 78.2 [8.8] years), there were 177 864 (3.0%) Asian, 664 648 (11.3%) Black, 522 964 (8.9%) Hispanic, and 4 534 393 (76.9%) White individuals. During weeks when the hospital COVID-19 burden was greater than 40%, the risk of death or major morbidity increased nearly 2-fold (adjusted odds ratio [AOR], 1.90; 95% CI, 1.80-2.00; P < .001) for White individuals compared with before the pandemic. Asian, Black, and Hispanic individuals experienced 44% (AOR, 1.44; 95% CI, 1.28-1.61; P < .001), 21% (AOR, 1.21; 95% CI, 1.11-1.33; P < .001), and 45% (AOR, 1.45; 95% CI, 1.32-1.59; P < .001) higher risk of death or morbidity, respectively, compared with White individuals when the hospital weekly COVID-19 burden was greater than 40%., Conclusion and Relevance: In this cross-sectional study, older adults hospitalized with sepsis were more likely to die or experience major morbidity as the hospital COVID-19 burden increased. These increases in adverse outcomes were greater in magnitude among members of minority populations than for White individuals.

Background: In the United States, disparities persist in end-of-life care outcomes between Black and White nursing home (NH) residents, particularly concerning infection-related management. Timely goals of care (TGOC) discussions are crucial for improving end-of-life outcomes but exhibit racial variations within NHs that are not well understood., Objectives: Examine the association between the proportion of Black residents within NHs and TGOC discussion related to infection management., Design: A national analysis of palliative care survey data from NHs with the Minimum Dataset 3.0 and administrative data., Setting/subjects: 892 NHs representing a weighted sample of 14,981 facilities., Measurments: TGOC discussions related to infection management were quantified using an index score from the palliative care survey (range: 0-18). Multivariable analyses assessed the association between the proportion of Black residents (≤2%, 2.1%-15%, >15%) and TGOC index scores., Results: The majority of NHs were for-profit, chain-affiliated, urban facilities with fewer than 100 beds, serving both Medicare and Medicaid beneficiaries. In stratified analyses, NHs with 2.1%-15% (-0.97 score; 95%CI -1.86, -0.07; P < .05) and 15% or more Black residents (-3.86 score; 95%CI -6.62, -1.10; P < .01) showed lower TGOC index scores compared to NHs with 2% or fewer Black residents in the West. NHs with 2.1%-15% Black residents had 1.29 lower TGOC index scores compared to NHs with 2% or fewer Black residents (95%CI -2.51, -0.07; P < .05) in the Northeast., Conclusions: TGOC discussions in US NHs are influenced by the proportion of Black residents, highlighting the need for targeted interventions to address regional disparities and improve end-of-life care equity., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.