Hospital Rating Organizations' Quality and Patient Safety Scores: Analysis of Result Discrepancies.

BACKGROUND: In the USA, multiple organizations rate hospitals based on quality and patient safety data, but few studies have analyzed and compared the rating results. OBJECTIVE: Compare the results of different US hospital-rating organizations. DESIGN: Observational data analysis of US acute care hospital ratings. PARTICIPANTS: Four rating organizations: Hospital Compare® (HC), Healthgrades® (HG), The Leapfrog Group® (Leapfrog), and US News and World Report® (USN). MAIN MEASURES: We analyzed the level of concordance (similar ranking), discordance (difference of 1 or more rankings), and severe discordance (difference of two or more rankings), as well as differences and correlations between the scores. KEY RESULTS: From Feb 1 to Oct 3, 2023, we analyzed data from 2,384 hospitals. In Leapfrog, there were 688 hospitals (29%) with Grade A, 652 (27.3%) with B, 885 (37.1%) with C, 153 (6.4%) with D, and 6 (0.3%) with F. For HC, 333 hospitals (14%) had five stars, 676 (28.4%) four, 695 (29.2%) three, 502 (21.4%) two, and 171 (7.2%) one-star. In ratings between HC and Leapfrog, discordance was 70%, and severe discordance was 25.1%. USN ranked 469 hospitals (19.7%). Within the USN-ranked hospital group, there was a 62% discordance and 19.8% severe discordance between HC and Leapfrog. The analysis of orthopedic procedures from HG and USN showed discordance ranging from 48 to 61.2%. CONCLUSION: The rating organizations' reported metrics were highly discordant. A hospital's ranking by one organization frequently did not correspond to a similar ranking by another. The methodology and included timeline and patient population can help explain the differences. However, the discordant ratings may confuse patients and customers.

Inpatient Rehabilitation Facility Ownership Type Yields Mixed Performances on Quality Measures.

OBJECTIVE: To evaluate the effects of inpatient rehabilitation facility (IRF) ownership type on IRF-Quality Reporting Program (IRF-QRP) measures. DESIGN: Cross-sectional, observational design. SETTING: We used 2 Centers for Medicare and Medicare publicly-available, facility-level data sources: (1) IRF compare files and (2) IRF rate setting files - final rule. Data from 2021 were included. PARTICIPANTS: The study sample included 1092 IRFs (N=1092). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: We estimated the effects of IRF ownership type, defined as for-profit and nonprofit, on 15 IRF-QRP measures using general linear models. Models were adjusted for the following facility-level characteristics: (1) Centers for Medicare and Medicaid census divisions; (2) number of discharges; (3) teaching status; (4) freestanding vs hospital unit; and (5) estimated average weight per discharge. RESULTS: Ownership type was significantly associated with 9 out of the fifteen IRF-QRP measures. Nonprofit IRFs performed better with having lower readmissions rates within stay and 30-day post discharge. For-profit IRFs performed better for all the functional measures and with higher rates of returning to home and the community. Lastly, for-profit IRFs spent more per Medicare beneficiary. CONCLUSIONS: Ideally, IRF performance would not vary based on ownership type. However, we found that ownership type is associated with IRF-QRP performance scores. We suggest that future studies investigate how ownership type affects patient-level outcomes and the longitudinal effect of ownership type on IRF-QRP measures.

Antibiotic Prescribing by Digital Health Care Providers as Compared to Traditional Primary Health Care Providers: Cohort Study Using Register Data.

BACKGROUND:  "Direct-to-consumer (DTC) telemedicine" is increasing worldwide and changing the map of primary health care (PHC). Virtual care has increased in the last decade and with the ongoing COVID-19 pandemic, patients' use of online care has increased even further. In Sweden, online consultations are a part of government-supported health care today, and there are several digital care providers on the Swedish market, which makes it possible to get in touch with a doctor within a few minutes. The fast expansion of this market has raised questions about the quality of primary care provided only in an online setting without any physical appointments. Antibiotic prescribing is a common treatment in PHC. OBJECTIVE:  This study aimed to compare antibiotic prescribing between digital PHC providers (internet-PHC) and traditional physical PHC providers (physical-PHC) and to determine whether prescriptions for specific diagnoses differed between internet-PHC and physical-PHC appointments, adjusted for the effects of attained age at the time of appointment, gender, and time relative to the COVID-19 pandemic. METHODS:  Antibiotic prescribing data based on Anatomical Therapeutic Chemical (ATC) codes were obtained for Region Sörmland residents from January 2020 until March 2021 from the Regional Administrative Office. In total, 160,238 appointments for 68,332 Sörmland residents were included (124,398 physical-PHC and 35,840 internet-PHC appointments). Prescriptions issued by internet-PHC or physical-PHC physicians were considered. Information on the appointment date, staff category serving the patient, ICD-10 (International Statistical Classification of Diseases, Tenth Revision) diagnosis codes, ATC codes of prescribed medicines, and patient-attained age and gender were used. RESULTS:  A total of 160,238 health care appointments were registered, of which 18,433 led to an infection diagnosis. There were large differences in gender and attained age distributions among physical-PHC and internet-PHC appointments. Physical-PHC appointments peaked among patients aged 60-80 years while internet-PHC appointments peaked at 20-30 years of age for both genders. Antibiotics with the ATC codes J01A-J01X were prescribed in 9.3% (11,609/124,398) of physical-PHC appointments as compared with 6.1% (2201/35,840) of internet-PHC appointments. In addition, 61.3% (6412/10,454) of physical-PHC infection appointments resulted in antibiotic prescriptions, as compared with only 25.8% (2057/7979) of internet-PHC appointments. Analyses of the prescribed antibiotics showed that internet-PHC followed regional recommendations for all diagnoses. Physical-PHC also followed the recommendations but used a wider spectrum of antibiotics. The odds ratio of receiving an antibiotic prescription (after adjustments for attained age at the time of appointment, patient gender, and whether the prescription was issued before or during the COVID-19 pandemic) during an internet-PHC appointment was 0.23-0.39 as compared with a physical-PHC appointment. CONCLUSIONS:  Internet-PHC appointments resulted in a significantly lower number of antibiotics prescriptions than physical-PHC appointments, adjusted for the large differences in the characteristics of patients who consult internet-PHC and physical-PHC. Internet-PHC prescribers showed appropriate prescribing according to guidelines.

The Headphone and Loudspeaker Test-Part II: A comprehensive method for playback device screening in Internet experiments.

HALT (The Headphone and Loudspeaker Test) Part II is a continuation of HALT Part I. The main goals of this study (HALT Part II) were (a) to develop screening tests and strategies to discriminate headphones from loudspeakers, (b) to come up with a methodological approach to combine more than two screening tests, and (c) to estimate data quality and required sample sizes for the application of screening tests. Screening Tests A and B were developed based on psychoacoustic effects. In a first laboratory study (N = 40), the two tests were evaluated with four different playback devices (circumaural and intra-aural headphones; external and laptop loudspeakers). In a final step, the two screening tests A and B and a previously established test C were validated in an Internet-based study (N = 211). Test B showed the best single-test performance (sensitivity = 80.0%, specificity = 83.2%, AUC = .844). Following an epidemiological approach, the headphone prevalence (17.67%) was determined to calculate positive and negative predictive values. For a user-oriented, parameter-based selection of suitable screening tests and the simple application of screening strategies, an online tool was programmed. HALT Part II is assumed to be a reliable procedure for planning and executing screenings to detect headphone and loudspeaker playback. Our methodological approach can be used as a generic technique for optimizing the application of any screening tests in psychological research. HALT Part I and II complement each other to form a comprehensive overall concept to control for playback conditions in Internet experiments.

Assessing the impact of enforcement and compliance with minimum staffing standards on the quality of care in nursing homes: Evidence from the Centers for Medicare and Medicaid Services' staff star rating downgrade policy.

Policymakers have historically attempted to influence quality in nursing homes through the imposition of minimum staffing standards and through the public dissemination of quality on websites like Care Compare. One current Federal standard necessitates a registered nurse (RN) on duty for at least eight consecutive hours each day. In 2018, the Centers for Medicare and Medicaid Services announced that they would incentivize compliance with this requirement by downgrading nursing homes with 7+ days without an RN present during the quarter by one star on their Care Compare staffing domain quality rating. This study evaluates the impact of this new enforcement mechanism. Using an intent-to-treat sample of nursing homes at risk for downgrade with difference-in-differences and event study models, it finds that the policy increased compliance and staffing levels. Using the policy to instrument for full compliance, it finds that the daily presence of an RN causally improves several quality dimensions.

Complete chloroplast genomes of Rubus species (Rosaceae) and comparative analysis within the genus.

BACKGROUND: Rubus is the largest genus of the family Rosaceae and is valued as medicinal, edible, and ornamental plants. Here, we sequenced and assembled eight chloroplast (cp) genomes of Rubus from the Dabie Mountains in Central China. Fifty-one Rubus species were comparatively analyzed for the cp genomes including the eight newly discovered genomes and forty-three previously reported in GenBank database (NCBI). RESULTS: The eight newly obtained cp genomes had the same quadripartite structure as the other cp genomes in Rubus. The length of the eight plastomes ranged from 155,546 bp to 156,321 bp with similar GC content (37.0 to 37.3%). The results indicated 133-134 genes were annotated for the Rubus plastomes, which contained 88 or 89 protein coding genes (PCGs), 37 transfer RNA genes (tRNAs), and eight ribosomal RNA genes (rRNAs). Among them, 16 (or 18) of the genes were duplicated in the IR region. Structural comparative analysis results showed that the gene content and order were relatively preserved. Nucleotide variability analysis identified nine hotspot regions for genomic divergence and multiple simple sequences repeats (SSRs), which may be used as markers for genetic diversity and phylogenetic analysis. Phylogenetic relationships were highly supported within the family Rosaceae, as evidenced by sub-clade taxa cp genome sequences. CONCLUSION: Thus, the whole plastome may be used as a super-marker in phylogenetic studies of this genus.

Intersectoral collaboration at a decentralized level: information flows in child welfare and healthcare networks.

BACKGROUND: As needs of families with social and behavioral health problems often exceed the expertise and possibilities of a single professional, service or organization, cross-service collaboration is indispensable to adequately meeting those needs. Despite the progressive focus on organizing integrated care, service fragmentation and service duplication remain persistent problems in child welfare and healthcare service delivery systems. A crucial factor to overcome these problems is information exchange between organizations. This study explores and compares the development over time of structures of information exchange in networks, concerning both material and knowledge-based information. METHODS: A comparative case study and social network analysis of three inter-organizational networks of child welfare and healthcare services in different-sized municipalities in the Netherlands. The research population consisted of organizations from various sectors participating in the networks. Data were collected at two moments in time with a mixed method: semi-structured interviews with network managers and an online questionnaire for all network members. Density and degree centralization were used to examine the information exchange structures. Ucinet was used to analyze the data, with use of the statistical tests: Compare Density Procedure and Quadratic Assignment Procedure. RESULTS: This study shows that different structures of information exchange can be distinguished, concerning both material and knowledge-based information. The overall connectedness of the studied structures of the networks are quite similar, but the way in which the involvement is structured turns out to be different between the networks. Over time, the overall connectedness of those structures appears to be stable, but the internal dynamics reveals a major change in relationships between organizations in the networks. CONCLUSIONS: Our study yields empirical evidence for the existence of and the differences between structures and dynamics of both material and knowledge-based information exchange relationships. With a loss of more than a half of the relations in a year, the relationships between the organizations in the network are not very stable over time. The contrast between major internal dynamics and the stable overall connectedness is an important point of concern for network managers and public officials, since this impermanence of relations means that long-term integrated care cannot be guaranteed.

Wisdom of the Experts Versus Opinions of the Crowd in Hospital Quality Ratings: Analysis of Hospital Compare Star Ratings and Google Star Ratings.

BACKGROUND: Popular web-based portals provide free and convenient access to user-generated hospital quality reviews. The Centers for Medicare & Medicaid Services (CMS) also publishes Hospital Compare Star Ratings (HCSR), a comprehensive expert rating of US hospital quality that aggregates multiple measures of quality. CMS revised the HCSR methods in 2021. It is important to analyze the degree to which web-based ratings reflect expert measures of hospital quality because easily accessible, crowdsourced hospital ratings influence consumers' hospital choices. OBJECTIVE: This study aims to assess the association between web-based, Google hospital quality ratings that reflect the opinions of the crowd and HCSR representing the wisdom of the experts, as well as the changes in these associations following the 2021 revision of the CMS rating system. METHODS: We extracted Google star ratings using the Application Programming Interface in June 2020. The HCSR data of April 2020 (before the revision of HCSR methodology) and April 2021 (after the revision of HCSR methodology) were obtained from the CMS Hospital Compare website. We also extracted scores for the individual components of hospital quality for each of the hospitals in our sample using the code provided by Hospital Compare. Fractional response models were used to estimate the association between Google star ratings and HCSR as well as individual components of quality (n=2619). RESULTS: The Google star ratings are statistically associated with HCSR (P<.001) after controlling for hospital-level effects; however, they are not associated with clinical components of HCSR that require medical expertise for evaluation such as safety of care (P=.30) or readmission (P=.52). The revised CMS rating system ameliorates previous partial inconsistencies in the association between Google star ratings and quality component scores of HCSR. CONCLUSIONS: Crowdsourced Google star hospital ratings are informative regarding expert CMS overall hospital quality ratings and individual quality components that are easier for patients to evaluate. Improvements in hospital quality metrics that require expertise to assess, such as safety of care and readmission, may not lead to improved Google star ratings. Hospitals can benefit from using crowdsourced ratings as timely and easily available indicators of their quality performance while recognizing their limitations and biases.

Poorer Survival in Patients with Cecum Cancer Compared with Sigmoid Colon Cancer.

Background and Objectives: An increasing number of studies have shown the influence of primary tumor location of colon cancer on prognosis, but the prognostic difference between colon cancers at different locations remains controversial. After comparing the prognostic differences between left-sided and right-sided colon cancer, the study subdivided left-sided and right-sided colon cancer into three parts, respectively, and explored which parts had the most significant prognostic differences, with the aim to further analyze the prognostic significance of primary locations of colon cancer. Materials and Methods: Clinicopathological data of patients with colon cancer who underwent radical surgery from the Surveillance, Epidemiology, and End Results Program database were analyzed. The data was divided into two groups (2004−2009 and 2010−2015) based on time intervals. Two tumor locations with the most significant survival difference were explored by using Cox regression analyses. The prognostic difference of the two locations was further verified in survival analyses after propensity score matching. Results: Patients with right-sided colon cancer had worse cancer-specific and overall survival compared to left-sided colon cancer. Survival difference between cecum cancer and sigmoid colon cancer was found to be the most significant among six tumor locations in both 2004−2009 and 2010−2015 time periods. After propensity score matching, multivariate analyses showed that cecum cancer was an independent unfavorable factor for cancer specific survival (HR [95% CI]: 1.11 [1.04−1.17], p = 0.001 for 2004−2009; HR [95% CI]: 1.23 [1.13−1.33], p < 0.001 for 2010−2015) and overall survival (HR [95% CI]: 1.09 [1.04−1.14], p < 0.001 for 2004−2009; HR [95% CI]: 1.09 [1.04−1.14], p < 0.001 for 2010−2015) compared to sigmoid colon cancer. Conclusions: The study indicates the prognosis of cecum cancer is worse than that of sigmoid colon. The current dichotomy model (right-sided vs. left-sided colon) may be inappropriate for the study of colon cancer.

How hospitals can improve their public quality metrics: a decision-theoretic model.

The public reporting of hospitals' quality of care is providing additional motivation for hospitals to deliver high-quality patient care. Hospital Compare, a consumer-oriented website by the Centers for Medicare and Medicaid Services (CMS), provides patients with detailed quality of care data on most US hospitals. Given that many quality metrics are the aggregate result of physicians' individual clinical decisions, the question arises if and how hospitals could influence their physicians so that their decisions positively contribute to hospitals' quality goals. In this paper, we develop a decision-theoretic model to explore how three different hospital interventions-incentivization, training, and nudging-may affect physicians' decisions. We focus our analysis on Outpatient Measure 14 (OP-14), which is an imaging quality metric that reports the percentage of outpatients with a brain computed tomography (CT) scan, who also received a same-day sinus CT scan. In most cases, same-day brain and sinus CT scans are considered unnecessary, and high utilizing hospitals aim to reduce their OP-14 metric. Our model captures the physicians' imaging decision process accounting for medical and behavioral factors, in particular the uncertainty in clinical assessment and a physician's diagnostic ability. Our analysis shows how hospital interventions of incentivization, training, and nudging affect physician decisions and consequently OP-14. This decision-theoretic model provides a foundation to develop insights for policy makers on the multi-level effects of their policy decisions.

Seniors don't use Medicare.Gov: how do eligible beneficiaries obtain information about Medicare Advantage Plans in the United States?

BACKGROUND: Managed care programs in the US are becoming a preferred alternative among low-income individuals in the US. Every year during open enrollment, seniors can enroll in Medicare Advantage (MA) or switch MA plans. However, there is very limited information about how seniors obtain information to help them make their choices. While the Centers for Medicaid and Medicare offer online resources that are designed to enable potential beneficiaries to make informed coverage decisions, there is no information as to whether seniors use these resources, and therefore whether these resources are effective compared to other information retrieval methods. METHODS: The purpose of the present study was to qualitatively explore how seniors obtain information about insurance plans in MA. We conducted semi-structured interviews with 26 MA beneficiaries from Rhode Island. RESULTS: We found that most seniors have strong preferences for obtaining information in-person regarding benefits, cost and other plan information. Some seniors relied heavily on insurance brokers or representatives, and considered the information provided to them without questioning the potential for bias. Others consulted with family and/or friends for guidance, or to compare costs and benefits. Only a few of these seniors used the available internet resources, and in fact most of them mentioned that they did not have a computer/smart device with internet capabilities. However, among those who used and appeared to be comfortable with navigating the internet, www.medicare.gov was not discussed as a useful resource for making decisions regarding health insurance. CONCLUSIONS: This study suggests that existing online medical resource usage and effects among senior citizens in the United States may need supplementing with in-person communication among influential agents.

Comparison between students' self-assessment, and visual and digital assessment techniques in dental anatomy wax-up grading.

INTRODUCTION: Digital technology has the potential to provide a bias-free evaluation instrument for practical examination grading. E4D Compare software was designed for teaching institutions to allow comparison between scanned models prepared by students and master models prepared by instructors. The aim of this study was to determine the tolerance value for the E4D compare software (E4D Technologies LLC, Richardson, TX, USA) that provides scores comparable with faculty grades for wax-ups #23 and #19. Additionally, this study sought to assess the correlation between students' self-assessments, visual and digital grades and the reliability of the software. METHODS: Student wax-ups (n = 112) were uploaded into the software and then compared with faculty-generated master wax-ups. Digital grading was performed at tolerances 200-800 µm in 50 µm increments and was repeated twice. RESULTS: A tolerance of 350 µm was the closest to faculty grades for #23 and 500 µm was the closest for #19. Visual and digital grades showed moderate to high correlation for both wax-ups. Correlations between students' self-assessments and visual and digital grades improved with #19 versus #23. A near-perfect correlation was found between grades at the first and second digital grading sessions. CONCLUSIONS: The tolerance that closely matches faculty grades differs according to the tooth type. The software provided consistent grades and correlated well with faculty grades. Students' self-assessment skills improved as they proceeded throughout the course. Further studies are necessary to ascertain the role of the software in improving students' self-assessment skills.

Evaluation of Physician Network-Based Measures of Care Coordination Using Medicare Patient-Reported Experience Measures.

BACKGROUND: There is significant promise in analyzing physician patient-sharing networks to indirectly measure care coordination, yet it is unknown whether these measures reflect patients' perceptions of care coordination. OBJECTIVE: To evaluate the associations between network-based measures of care coordination and patient-reported experience measures. DESIGN: We analyzed patient-sharing physician networks within group practices using data made available by the Centers for Medicare and Medicaid Services. SUBJECTS: Medicare beneficiaries who provided responses to the Consumer Assessment of Healthcare Providers and Systems (CAHPS) Survey in 2016 (data aggregated by physician group practice made available through the Physician Compare 2016 Group Public Reporting). MAIN MEASURES: The outcomes of interest were patient-reported experience measures reflecting aspects of care coordination (CAHPS). The predictor variables of interests were physician group practice density (the number of physician pairs who share patients adjusting for the total number of physician pairs) and clustering (the extent to which sets of three physicians share patients). KEY RESULTS: Four hundred seventy-six groups had patient-reported measures available. Patients' perception of "Clinicians working together for your care" was significantly positively associated with both physician group practice density (Est (95 % CI) = 5.07(0.83, 9.33), p = 0.02) and clustering (Est (95 % CI) = 3.73(1.01, 6.44), p = 0.007). Physician group practice clustering was also significantly positively associated with "Getting timely care, appointments, and information" (Est (95 % CI) = 4.63(0.21, 9.06), p = 0.04). CONCLUSIONS: This work suggests that network-based measures of care coordination are associated with some patient-reported experience measures. Evaluating and intervening on patient-sharing networks may provide novel strategies for initiatives aimed at improving quality of care and the patient experience.

Erythrofordins D and E, two new cassaine-type diterpenes from Erythrophleum suaveolens.

Two new cassaine-type diterpenoids, namely erythrofordins D (1) and E (2), sourced from a Cameroon collection of Erythrophleum suaveolens were isolated and assessed for anti-tumor activity. In the NCI-60 cancer cell assay, erythrofordins D (1) and E (2) were found to be cytotoxic in the low micro molar ranges with a mean GI50 value of 2.45 and 0.71 µM, mean TGI value of 9.77 and 2.29 µM, and a mean LC50 of 26.92 and 11.48 µM for 1 and 2 respectively. Using the COMPARE algorithm, the new compounds were found to have similar NCI-60 response profiles to the known cardiac glycosides hyrcanoside and strophanthin. In addition, in an assay examining the viability and contractile function in human cardiomyocytes derived from induced pluripotent stem-cells, erythrofordins showed cardiotoxicity effects at concentrations as low as 0.03 µg/mL.

Discovery of a novel DNA binding agent via design and synthesis of new thiazole hybrids and fused 1,2,4-triazines as potential antitumor agents: Computational, spectrometric and in silico studies.

New series of furan-thiazole hybrids (3a-f), thiazolo[2,3-c]-1,2,4-triazines (4a-f), their bioisosteres 1,3,4-thiadiazolo[2,3-c]-1,2,4-triazines (8a-d) and 1,2,4-triazino[4,3-b]-1,2,4-triazines (13a-e) were designed, synthesized and evaluated for their in vitro antitumor activities at the National Cancer Institute (NCI, USA). Among the synthesized compounds, 3d was found to exhibit promising broad spectrum antitumor activity (GI50 MG-MID = 14.22 µM) in a five-dose assay against the full panel NCI-cancer cell lines. 3d displayed higher antitumor activity against most tested cancer cell lines than 5-FU as reference. COMPARE analysis and molecular electrostatic potential computational study revealed that 3d probably exerts its antitumor properties through DNA binding similar to Clomesone. Further DNA binding studies using fluorescent terbium (Tb+3) probe revealed increased fluroresence of DNA-3d-Tb+3 mixture due to damage of the double-stranded DNA. Also, UV-vis absorption study was conducted which showed hyperchromic shift in DNA absorption confirming 3d-induced DNA damage. The assessed potency of 3d-induced DNA damage of calf thymus DNA showed a concentration as low as 2.04 ng/mL for a detectable DNA damage. Moreover, in silico calculation of physicochemical properties and druglikeness were in compliance to Lipinski's rule.

Are Medicare's Nursing Home Compare Ratings Accurate Predictors of 90-Day Complications, Readmission, and Bundle Cost for Patients Undergoing Primary Total Joint Arthroplasty?

BACKGROUND: Nursing Home Compare (NHC) ratings, created and maintained by Medicare, are used by both hospitals and consumers to aid in the skilled nursing facility (SNF) selection process. To date, no studies have linked NHC ratings to actual episode-based outcomes. The purpose of this study was to evaluate whether NHC ratings are valid predictors of 90-day complications, readmission, and bundle costs for patients discharged to an SNF after primary total joint arthroplasty (TJA). METHODS: All SNF-discharged primary TJA cases in 2017 at a multihospital academic health system were queried. Demographic, psychosocial, and clinical variables were manually extracted from the health record. Medicare NHC ratings were then collected for each SNF. For patients in the Medicare bundle, postacute and total bundle cost was extracted from claims. RESULTS: Four hundred eighty-eight patients were discharged to a total of 105 unique SNFs. In multivariate analysis, overall NHC rating was not predictive of 90-day readmission/major complications, >75th percentile postacute cost, or 90-day bundle cost exceeding the target price. SNF health inspection and quality measure ratings were also not predictive of 90-day readmission/major complications or bundle performance. A higher SNF staffing rating was independently associated with a decreased odds for >75th percentile 90-day postacute spend (odds ratio, 0.58; P = .01) and a 90-day bundle cost exceeding the target price (odds ratio = 0.69; P = .02) but was similarly not predictive of 90-day readmission/complications. CONCLUSION: Results of our study suggest that Medicare's NHC tool is not a useful predictor of 90-day costs, complications, or readmissions for SNFs within our health system.

Skilled Nursing Facility Placement Process After Total Hip and Total Knee Arthroplasty: Revised Rating System and Opportunities for Intervention.

BACKGROUND: With the advent of bundled payment models, identifying high-performing skilled nursing facilities (SNFs) has become increasingly important. The goal of this study is to develop a rating system to rank SNFs within our health system and to use this system to improve the SNF discharge process at our institution. METHODS: All SNF-discharged primary total joint arthroplasty cases in 2017 at a multi-hospital academic health system were queried. Discharge patterns were assessed using heat map analysis. Regression analyses in conjunction with structured discussions with subject matter experts were used to identify measures of SNF efficiency and care quality. A revised rating system was developed and used to identify high-performing facilities within our health system. Opportunities to re-direct patients to higher performing facilities were identified. RESULTS: A revised rating system for SNFs was constructed based on risk-adjusted SNF length of stay, 30-day re-admission rate, and 30-day emergency department visit rate. As 82% of patients were discharged to SNFs in close proximity to their home, high-performing SNFs (according to the revised rating system) were identified by geographic region. Mapping of the discharge process revealed multiple opportunities where patients could be re-directed to a higher performing SNF in their area. Using conservative estimates (25% of discharges re-directed), this is expected to achieve a cost saving of $2,600,000 over a 5-year period, mainly through reductions in SNF length of stay. CONCLUSION: This study describes the development of a revised rating system for SNFs which, when implemented, is expected to achieve substantial cost savings over a 5-year period.

Complete Chloroplast Genomes and Comparative Analysis of Sequences Evolution among Seven Aristolochia (Aristolochiaceae) Medicinal Species.

Aristolochiaceae, comprising about 600 species, is a unique plant family containing aristolochic acids (AAs). In this study, we sequenced seven species of Aristolochia, and retrieved eleven chloroplast (cp) genomes published for comparative genomics analysis and phylogenetic constructions. The results show that the cp genomes had a typical quadripartite structure with conserved genome arrangement and moderate divergence. The cp genomes range from 159,308 bp to 160,520 bp in length and have a similar GC content of 38.5%⁻38.9%. A total number of 113 genes were identified, including 79 protein-coding genes, 30 tRNAs and four rRNAs. Although genomic structure and size were highly conserved, the IR-SC boundary regions were variable between these seven cp genomes. The trnH-GUG genes, are one of major differences between the plastomes of the two subgenera Siphisia and Aristolochia. We analyzed the features of nucleotide substitutions, distribution of repeat sequences and simple sequences repeats (SSRs), positive selections in the cp genomes, and identified 16 hotspot regions for genomes divergence that could be utilized as potential markers for phylogeny reconstruction. Phylogenetic relationships of the family Aristolochiaceae inferred from the 18 cp genome sequences were consistent and robust, using maximum parsimony (MP), maximum likelihood (ML), and Bayesian analysis (BI) methods.

Effect of nurse staffing on rehospitalizations and emergency department visits among short-stay nursing home residents: A Cross-sectional study using the US Nursing Home Compare database.

The aim of this study was to examine the effect of nurse staffing on both rehospitalizations and emergency department emergency department visits among short-stay nursing home residents in the United States. Data for 11,132 US nursing homes were drawn from the 2016 Nursing Home Compare. We found that the Five-Star Quality Rating System's staffing rating is a significant predictor for the rates of rehospitalization and emergency department visit among short-stay nursing home residents. The results also showed the importance of registered nurse staffing in nursing home caring for short-stay residents. Administrators and policy-makers can employ the findings to formulate management strategies that will reduce rehospitalizations and emergency department visits among nursing home residents.

Assessing the Recall Rate for Screening Mammography: Comparing the Medicare Hospital Compare Dataset With the National Mammography Database.

OBJECTIVE: High-quality screening mammography has been shown to substantially reduce mortality from breast cancer. Recall rate is a principal performance metric for screening mammography because it directly relates to the rate of false-positive examinations. This study aims to compare the recall rate derived using two sources-the claims-based Hospital Compare (HC) dataset from the Centers for Medicare & Medicaid Services versus the National Mammography Database (NMD) from the American College of Radiology-to understand the implications in pay-for-performance and quality improvement activities. MATERIALS AND METHODS: This study retrospectively compared the recall rate reported by NMD facilities with that reported in the HC dataset. Site matching was performed by facility name and zip code, followed by manual verification. Scatterplots, correlations, a paired t test, and Bland-Altman analysis were performed to assess association between the two measures. RESULTS: During the period from October 1 to December 1, 2016, 92 facilities were unambiguously matched using 2014-2015 records in both datasets. The recall rates were positively correlated (r = 0.428, p < 0.001), but the mean HC recall rate (8.5% ± 2.86% [SD]) was significantly (p < 0.001) lower than the mean NMD recall rate (10.6% ± 3.90%). CONCLUSION: The NMD and HC are two commonly used datasets for measuring screening mammography recall rate. Although recall rates are correlated at the individual facility level, there are important differences that have implications for quality improvement and pay-for-performance.