Differences across race and ethnicity in the quality of antidepressant medication management.

OBJECTIVE: To illustrate the importance of a multidimensional view of disparities in quality of antidepressant medication management (AMM), as well as discriminating "within-facility" disparities from disparities that exist between facilities. DATA SOURCES AND STUDY SETTING: We used data from the Veterans Health Administration's (VA) Corporate Data Warehouse (CDW) which contains clinical and administrative data from VA facilities nationally. STUDY DESIGN: CDW data were used to measure five indicators of AMM quality, including the HEDIS Effective Acute-Phase and Effective Continuation-Phase measures. Mixed effects regression models were used to examine differences in quality indicators between racial/ethnic groups, controlling for other demographic and clinical factors. An adaptation of the Kitagawa-Blinder-Oaxaca (KBO) method was used to decompose mean differences in treatment quality between racial and ethnic groups into within- and between-facility effects. DATA EXTRACTION METHODS: Demographic, clinical, and health service utilization data were extracted for patients in fiscal year 2017 with a diagnosis of depression and a new start of an antidepressant medication. PRINCIPAL FINDINGS: The decomposition of the overall differences between White and Black patients on receiving an initial 90-day prescription (46.7% vs. 32.7%), Effective Acute-Phase (79.7% vs. 66.8%), and Effective Continuation-Phase (64.0% vs. 49.6%) HEDIS measures revealed that most of the overall effects were "within-facility," meaning that Black patients are less likely to meet these measures regardless of where they are treated. Although the overall magnitude of disparities between White and Hispanic patients on these three measures was very similar (46.7% vs. 32.7%; 79.7% vs. 69.2%; 64.0% vs. 53.6%), the differences were more attributable to Hispanic patients being treated in facilities with overall lower performance on these measures. CONCLUSIONS: Discriminating within- and between-facility disparities and taking a multidimensional view of quality are essential to informing efforts to address disparities in AMM quality.

Processing and validation of inpatient Medicare Advantage data for use in hospital outcome measures.

OBJECTIVE: To determine the feasibility of integrating Medicare Advantage (MA) admissions into the Centers for Medicare & Medicaid Services (CMS) hospital outcome measures through combining Medicare Advantage Organization (MAO) encounter- and hospital-submitted inpatient claims. DATA SOURCES AND STUDY SETTING: Beneficiary enrollment data and inpatient claims from the Integrated Data Repository for 2018 Medicare discharges. STUDY DESIGN: We examined timeliness of MA claims, compared diagnosis and procedure codes for admissions with claims submitted both by the hospital and the MAO (overlapping claims), and compared demographic characteristics and principal diagnosis codes for admissions with overlapping claims versus admissions with a single claim. DATA COLLECTION/EXTRACTION METHODS: We combined hospital- and MAO-submitted claims to capture MA admissions from all hospitals and identified overlapping claims. For admissions with only an MAO-submitted claim, we used provider history data to match the National Provider Identifier on the claim to the CMS Certification Number used for reporting purposes in CMS outcome measures. PRINCIPAL FINDINGS: After removing void and duplicate claims, identifying overlapped claims between the hospital- and MAO-submitted datasets, restricting claims to acute care and critical access hospitals, and bundling same admission claims, we identified 5,078,611 MA admissions. Of these, 76.1% were submitted by both the hospital and MAO, 14.2% were submitted only by MAOs, and 9.7% were submitted only by hospitals. Nearly all (96.6%) hospital-submitted claims were submitted within 3 months after a one-year performance period, versus 85.2% of MAO-submitted claims. Among the 3,864,524 admissions with overlapping claims, 98.9% shared the same principal diagnosis code between the two datasets, and 97.5% shared the same first procedure code. CONCLUSIONS: Inpatient MA data are feasible for use in CMS claims-based hospital outcome measures. We recommend prioritizing hospital-submitted over MAO-submitted claims for analyses. Monitoring, data audits, and ongoing policies to improve the quality of MA data are important approaches to address potential missing data and errors.

Relationship between health system quality and racial and ethnic equity in diabetes care.

Failing to consider disparities in quality measures, such as by race and ethnicity, may obscure inequities in care, which could exist in facilities with overall high-quality ratings. We examined the relationship between overall quality and racial and ethnic disparities in diabetes care quality by health care facility-level performance on a diabetes-related quality measure within a national dataset of veterans using Veterans Health Administration (VA) ambulatory care between March 1, 2020 and Feburary 28, 2021, and were eligible for diabetes quality assessment. We found racial and ethnic disparities in diabetes care quality existed in top-performing VA medical centers (VAMCs) among American Indian or Alaska Native (AIAN) (predicted probability = 30%), Black (predicted probability = 29%), and Hispanic VA-users (predicted probability = 30%) vs White VA-users (predicted probability = 26%). While disparities among Black and Hispanic VA-users were similar relative to White VA-users across VAMCs at all performance levels, disparities were exacerbated for AIAN and Native Hawaiian or Other Pacific Islander VA-users in bottom-performing VAMCs. Equity remains an issue even in facilities providing overall high-quality care. Integrating equity as a component of quality measures can incentivize greater focus on equity in quality improvement.

Closing the gap on healthcare quality for equity-deserving groups: a scoping review of equity-focused quality improvement interventions in medicine.

INTRODUCTION: Quality improvement (QI) efforts are critical to promoting health equity and mitigating disparities in healthcare outcomes. Equity-focused QI (EF-QI) interventions address the unique needs of equity-deserving groups and the root causes of disparities. This scoping review aims to identify themes from EF-QI interventions that improve the health of equity-deserving groups, to serve as a resource for researchers embarking on QI. METHODS: In adherence with Preferred Reporting Items for Systematic Reviews and Meta-analysis guidelines, several healthcare and medical databases were systematically searched from inception to December 2022. Primary studies that report results from EF-QI interventions in healthcare were included. Reviewers conducted screening and data extraction using Covidence. Inductive thematic analysis using NVivo identified key barriers to inform future EF-QI interventions. RESULTS: Of 5,330 titles and abstracts screened, 36 articles were eligible for inclusion. They reported on EF-QI interventions across eight medical disciplines: primary care, obstetrics, psychiatry, paediatrics, oncology, cardiology, neurology and respirology. The most common focus was racialised communities (15/36; 42%). Barriers to EF-QI interventions included those at the provider level (training and supervision, time constraints) and institution level (funding and partnerships, infrastructure). The last theme critical to EF-QI interventions is sustainability. Only six (17%) interventions actively involved patient partners. DISCUSSION: EF-QI interventions can be an effective tool for promoting health equity, but face numerous barriers to success. It is unclear whether the demonstrated barriers are intrinsic to the equity focus of the projects or can be generalised to all QI work. Researchers embarking on EF-QI work should engage patients, in addition to hospital and clinic leadership in the design process to secure funding and institutional support, improving sustainability. To the best of our knowledge, no review has synthesised the results of EF-QI interventions in healthcare. Further studies of EF-QI champions are required to better understand the barriers and how to overcome them.

Relevance of meeting general outpatients' information needs to their perceptions of healthcare quality in a hospital in Ghana: a Healthcare Quality Survey using modified SERVQUAL analysis.

BACKGROUND: Patients determine quality of healthcare by their perception of the gap between the healthcare they experience/receive and that which they expect. This can be influenced by the ability of healthcare staff to adequately communicate information about the healthcare provided. This study assessed the level of relevance of meeting patients' information needs with respect to their assessment of healthcare quality in a private hospital's general outpatient department in Ghana. DESIGN: Study design was cross-sectional using exit self-administered questionnaires among 390 outpatients. Healthcare quality was measured using a modified form of the Service Quality model gap analysis (gap between experience and expectations). A negative gap signifies unmet patient expectations. Microsoft Excel and Stata V.15.0 were used for analysis using t-test and multiple linear regression. A p value ≤0.05 denotes statistical significance. FINDINGS: The mean percentage of patients' expectations of quality of healthcare was 87.6% (SE 0.031), while patient experience was 86.0% (SE 0.029), with a significant negative gap of -0.08 (p<0.002). Their highest expectation of the quality of healthcare was for their information needs to be met, with a mean score of 4.44 (SE 0.03). Two of the four items under the information needs dimension that showed no statistically significant gaps were 'saying all their problems' (gap=0.00; p<0.9) and 'explanation of treatment/medications' (gap=0.01; p<0.6). Those with statistically significant negative gaps were 'explanation of investigations and procedures' (gap=-0.18; p<0.0001) and 'explanation of the diagnoses' (gap=-0.11; p<0.02), signifying unmet expectations. CONCLUSIONS: The outpatient's greatest need for quality healthcare in this study was for their information needs to be met. Providing information on patient diagnoses and investigations are the areas least likely to be adequately communicated to patients.

Decreasing incidence of admission neonatal hypothermia in Gandhi Memorial Hospital, Addis Ababa, Ethiopia: quality improvement project.

BACKGROUND: WHO reported that neonatal hypothermia accounts for about 27% of newborn deaths worldwide. It is a serious concern in Ethiopia and other parts of sub-Saharan Africa; it poses a serious threat to global health, increasing morbidity and mortality. Hypothermic neonates are more likely to experience respiratory distress, infections and other issues that could result in longer hospital stays and delayed development. The objective of this quality improvement project was to minimise intensive medical treatments, maximise resource usage and enhance overall health outcomes for newborns at Gandhi Memorial Hospital by reducing neonatal hypothermia. METHODS: Over 10 months (from 1 March 2021 to 30 January 2022), neonatal hypothermia incidence was assessed using Quality Supervision Mentoring Team and Health Management Information System data. Root cause analysis and literature review led to evidence-based interventions in a change bundle. After team training and neonatal intensive care unit (NICU) relocation, Plan-Do-Study-Act cycles tested the bundle. Close temperature monitoring and data collection occurred. Run charts evaluated intervention success against baseline data, informing conclusions about effectiveness. RESULT: The quality improvement project reduced neonatal hypothermia in NICU admissions from a baseline median of 80.6% to a performance median of 30%. CONCLUSION AND RECOMMENDATION: The quality improvement project at Gandhi Memorial Hospital effectively reduced neonatal hypothermia through interventions such as the temperature management bundle and NICU relocation, leading to improved patient care, fewer hypothermic neonates and enhanced body temperature management. Continuous monitoring, adherence to best practices, sharing success and outcome assessment are crucial for enhancing the project's effectiveness and sustaining positive impacts on neonatal hypothermia reduction and patient outcomes.

The business case for quality: estimating lives saved and harms avoided in a value-based purchasing model.

Ever-increasing concern about the cost and burden of quality measurement and reporting raises the question: How much do patients benefit from provider arrangements that incentivize performance improvements? We used national performance data to estimate the benefits in terms of lives saved and harms avoided if US health plans improved performance on 2 widely used quality measures: blood pressure control and colorectal cancer screening. We modeled potential results both in California Marketplace plans, where a value-based purchasing initiative incentivizes improvement, and for the US population across 4 market segments (Medicare, Medicaid, Marketplace, commercial). The results indicate that if the lower-performing health plans improve to 66th percentile benchmark scores, it would decrease annual hypertension and colorectal cancer deaths by approximately 7% and 2%, respectively. These analyses highlight the value of assessing performance accountability initiatives for their potential lives saved and harms avoided, as well as their costs and efforts.

Smart Water Quality Monitoring with IoT Wireless Sensor Networks.

Traditional laboratory-based water quality monitoring and testing approaches are soon to be outdated, mainly because of the need for real-time feedback and immediate responses to emergencies. The more recent wireless sensor network (WSN)-based techniques are evolving to alleviate the problems of monitoring, coverage, and energy management, among others. The inclusion of the Internet of Things (IoT) in WSN techniques can further lead to their improvement in delivering, in real time, effective and efficient water-monitoring systems, reaping from the benefits of IoT wireless systems. However, they still suffer from the inability to deliver accurate real-time data, a lack of reconfigurability, the need to be deployed in ad hoc harsh environments, and their limited acceptability within industry. Electronic sensors are required for them to be effectively incorporated into the IoT WSN water-quality-monitoring system. Very few electronic sensors exist for parameter measurement. This necessitates the incorporation of artificial intelligence (AI) sensory techniques for smart water-quality-monitoring systems for indicators without actual electronic sensors by relating with available sensor data. This approach is in its infancy and is still not yet accepted nor standardized by the industry. This work presents a smart water-quality-monitoring framework featuring an intelligent IoT WSN monitoring system. The system uses AI sensors for indicators without electronic sensors, as the design of electronic sensors is lagging behind monitoring systems. In particular, machine learning algorithms are used to predict E. coli concentrations in water. Six different machine learning models (ridge regression, random forest regressor, stochastic gradient boosting, support vector machine, k-nearest neighbors, and AdaBoost regressor) are used on a sourced dataset. From the results, the best-performing model on average during testing was the AdaBoost regressor (a MAE¯ of 14.37 counts/100 mL), and the worst-performing model was stochastic gradient boosting (a MAE¯ of 42.27 counts/100 mL). The development and application of such a system is not trivial. The best-performing water parameter set (Set A) contained pH, conductivity, chloride, turbidity, nitrates, and chlorophyll.

Evaluation of hospital-onset bacteraemia and fungaemia in the USA as a potential healthcare quality measure: a cross-sectional study.

BACKGROUND: Hospital-onset bacteraemia and fungaemia (HOB) is being explored as a surveillance and quality metric. The objectives of the current study were to determine sources and preventability of HOB in hospitalised patients in the USA and to identify factors associated with perceived preventability. METHODS: We conducted a cross-sectional study of HOB events at 10 academic and three community hospitals using structured chart review. HOB was defined as a blood culture on or after hospital day 4 with growth of one or more bacterial or fungal organisms. HOB events were stratified by commensal and non-commensal organisms. Medical resident physicians, infectious disease fellows or infection preventionists reviewed charts to determine HOB source, and infectious disease physicians with training in infection prevention/hospital epidemiology rated preventability from 1 to 6 (1=definitely preventable to 6=definitely not preventable) using a structured guide. Ratings of 1-3 were collectively considered 'potentially preventable' and 4-6 'potentially not preventable'. RESULTS: Among 1789 HOB events with non-commensal organisms, gastrointestinal (including neutropenic translocation) (35%) and endovascular (32%) were the most common sources. Overall, 636/1789 (36%) non-commensal and 238/320 (74%) commensal HOB events were rated potentially preventable. In logistic regression analysis among non-commensal HOB events, events attributed to intravascular catheter-related infection, indwelling urinary catheter-related infection and surgical site infection had higher odds of being rated preventable while events with neutropenia, immunosuppression, gastrointestinal sources, polymicrobial cultures and previous positive blood culture in the same admission had lower odds of being rated preventable, compared with events without those attributes. Of 636 potentially preventable non-commensal HOB events, 47% were endovascular in origin, followed by gastrointestinal, respiratory and urinary sources; approximately 40% of those events would not be captured through existing healthcare-associated infection surveillance. DISCUSSION: Factors identified as associated with higher or lower preventability should be used to guide inclusion, exclusion and risk adjustment for an HOB-related quality metric.

Assessing quality of direct-to-consumer telemedicine in China: a cross-sectional study using unannounced standardised patients.

Direct-to-onsumer telemedicine (DTCT) has become popular as an alternative to traditional care. However, uncertainties about the potential risks associated with the lack of comprehensive quality evaluation could influence its long-term development. This study aimed to assess the quality of care provided by DTCT platforms in China using unannounced standardised patients (USP) between July 2021 and January 2022. The study assessed consultation services on both hospital and enterprise-sponsored platforms using the Institute of Medicine quality framework. It employed 10 USP cases, covering conditions such as diabetes, asthma, common cold, gastritis, angina, low back pain, child diarrhoea, child dermatitis, stress urinary incontinence and postpartum depression. Descriptive and regression analyses were employed to examine platform characteristics and compare quality across platform types. The results showed that of 170 USP visits across 107 different telemedicine platforms, enterprise-sponsored platforms achieved a 100% success in access, while hospital-sponsored platforms had a success rate of only 47.5% (56/118). Analysis highlighted a low overall correct diagnosis rate of 45% and inadequate adherence to clinical guidelines across all platforms. Notably, enterprise-sponsored platforms outperformed in accessibility, response time and case management compared with hospital-sponsored platforms. This study highlights the suboptimal quality of DTCT platforms in China, particularly for hospital-sponsored platforms. To further enhance DTCT services, future studies should compare DTCT and in-person care, aiming to identify gaps and potential risks associated with using DTCT as alternatives or supplements to traditional care. The potential of future development in enhancing DTCT services may involve exploring the integration of hospital resources with the technology and market capabilities of enterprise-sponsored platforms.

Relation between pre-existing quality management measures and prevention and containment of COVID-19 outbreaks in 159 nursing homes in Tuscany: a mixed methods study.

BACKGROUND: Nursing homes were often the focus of COVID-19 outbreaks. Many factors are known to influence the ability of a nursing home to prevent and contain a COVID-19 outbreak. The role of an organisation's quality management prior to the pandemic is not yet clear. In the Italian region of Tuscany nursing home performance indicators have been regularly collected since before the pandemic, providing the opportunity to better understand this relationship. OBJECTIVES: To test if there is a difference in the results achieved by nursing homes in Tuscany on 13 quality management indicators, when grouped by severity of COVID-19 outbreaks; and to better understand how these indicators may be related to the ability to control COVID-19 outbreaks, from the perspective of nursing homes. METHODS: We used a mixed methods sequential explanatory design. Based on regional and national databases, 159 nursing homes in Tuscany were divided into four groups by outbreak severity. We tested the significance of the differences between the groups with respect to 13 quality management indicators. The potential relation of these indicators to COVID-19 outbreaks was discussed with 29 managers and other nursing homes' staff through four group interviews. RESULTS: The quantitative analysis showed significant differences between the groups of nursing homes for 3 of the 13 indicators. From the perspective of nursing homes, the indicators might not be good at capturing important aspects of the ability to control COVID-19 outbreaks. For example, while staffing availability is seen as essential, the staff-to-bed ratio does not capture the turn-over of staff and temporary absences due to positive COVID-19 testing of staff. CONCLUSIONS: Though currently collected indicators are key for overall performance monitoring and improvement, further refinement of the set of quality management indicators is needed to clarify the relationship with nursing homes' ability to control COVID-19 outbreaks.

Enhancing pain care with the American Pain Society Patient Outcome Questionnaire for use in the emergency department (APS-POQ-RED): validating a patient-reported outcome measure.

BACKGROUND: In general, the quality of pain care in emergency departments (ED) is poor, despite up to 80% of all ED patients presenting with pain. This may be due to the lack of well-validated patient-reported outcome measures (PROMs) of pain care in the ED setting. The American Pain Society-Patient Outcome Questionnaire-Revised Edition (APS-POQ-R), with slight modification for ED patients, is a potentially useful PROM for the adult ED, however it is yet to be completely validated. METHODS: Adult patients, who had presented with moderate to severe acute pain, were recruited at two large inner-city EDs in Australia. A modified version of the APS-POQ-R was administered at the completion of their ED care. Responses were randomly split into three groups and underwent multiple rounds of exploratory and confirmatory factor analysis with testing for construct, convergent, divergent validity and internal consistency. RESULTS: A total of 646 ED patients (55.6% female), with a median age of 48.3 years, and moderate to severe pain on arrival, completed the ED-modified APS-POQ-R. Psychometric evaluation resulted in a reduced nine-question tool, which measures three constructs (pain relief and satisfaction (α=0.891), affective distress (α=0.823) and pain interference (α=0.908)) and demonstrated construct, convergent, divergent validity, and internal consistency. CONCLUSIONS: This new tool, which we refer to as the American Pain Society-Patient Outcome Questionnaire-Revised for the ED (APS-POQ-RED), should form the basis for reporting patient-reported outcomes of ED pain care in future quality improvement and research.

An SGO commentary: U.S. News and World Report gynecologic oncology procedural ratings-Do they reflect high-quality care?

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A realist synthesis of multicentre comparative audit implementation: exploring what works and in which healthcare contexts.

BACKGROUND: Multicentre comparative clinical audits have the potential to improve patient care, allow benchmarking and inform resource allocation. However, implementing effective and sustainable large-scale audit can be difficult within busy and resource-constrained contemporary healthcare settings. There are little data on what facilitates the successful implementation of multicentre audits. As healthcare environments are complex sociocultural organisational environments, implementing multicentre audits within them is likely to be highly context dependent. OBJECTIVE: We aimed to examine factors that were influential in the implementation process of multicentre comparative audits within healthcare contexts-what worked, why, how and for whom? METHODS: A realist review was conducted in accordance with the Realist and Meta-narrative Evidence Syntheses: Evolving Standards reporting standards. A preliminary programme theory informed two systematic literature searches of peer-reviewed and grey literature. The main context-mechanism-outcome (CMO) configurations underlying the implementation processes of multicentre audits were identified and formed a final programme theory. RESULTS: 69 original articles were included in the realist synthesis. Four discrete CMO configurations were deduced from this synthesis, which together made up the final programme theory. These were: (1) generating trustworthy data; (2) encouraging audit participation; (3) ensuring audit sustainability; and (4) facilitating audit cycle completion. CONCLUSIONS: This study elucidated contexts, mechanisms and outcomes influential to the implementation processes of multicentre or national comparative audits in healthcare. The relevance of these contextual factors and generative mechanisms were supported by established theories of behaviour and findings from previous empirical research. These findings highlight the importance of balancing reliability with pragmatism within complex adaptive systems, generating and protecting human capital, ensuring fair and credible leadership and prioritising change facilitation.

Consensus-based quality standards for emergency departments in Palestine.

OBJECTIVES: The present study aimed to establish appropriate quality standards for emergency departments (EDQS) in Palestine. METHODS: The study comprised four phases. First, a comprehensive literature review was conducted to develop a framework for assessing healthcare services in EDs. Second, the initial set of EDQS was developed based on the review findings. Third, local experts provided feedback on the EDQS, suggesting additional standards, and giving recommendations. This feedback was analysed to create a preliminary set of EDQS. Finally, an expanded group of local emergency care experts evaluated the preliminary set, providing feedback on content and structure to contribute to the final set of EDQS. FINDINGS: We identified quality domains in EDs and categorised them into clinical and administrative pathways. The clinical pathway comprises 39 standards across 7 subdomains: triage, treatment, transportation, medication safety, patient flow and medical diagnostic services. Expert consensus was achieved on 87.5% of these standards. The administrative domain includes 64 consensus-based standards across 9 subdomains: documentation, information management systems, access-location, design, leadership, management, workforce staffing, training, equipment, supplies, capacity-resuscitation rooms, resources for a safe working environment, performance indicators and patient safety-infection prevention and control programmes. CONCLUSION: This study employed a rigorous approach to identify QS for EDs in Palestine. The multiphase consensus process ensured the appropriateness of the developed EDQS. Inclusion of diverse perspectives enriched the content. Future studies will validate and refine the standards based on feedback. The EDQS has potential to enhance emergency care in Palestine and serve as a model for other regions facing similar challenges.

Benchmarking institutional geriatric hip fracture management: a prelude to a care quality improvement initiative.

BACKGROUND: Fractures around the hip in older adults have increased in the last two decades, and the numbers are projected to rise over the next 30 years with estimates that half of them will occur in Asia. Proximal hip fractures should be operated within 48 h of injury to prevent poor outcomes. This study aims to benchmark current hip fracture care using quality improvement tools of care structure, care processes, and outcomes in a tertiary care hospital in Eastern India and determine the evidence-practice gaps and barriers to implementing the six best practices that reduce mortality and morbidity in fragility hip fractures. METHODS: A total of 101 consecutive patients above 50 years of age with proximal femoral fractures after a trivial fall were included. Patients were divided into two groups: those operated within [Group A] and beyond [Group B] 72 h of admission. Care structure assessment included delays in admission, delay in surgery, and anesthesia risk grading. Care processes included the type of surgery performed and postoperative complications. The primary outcomes were the 30-day and 1-year mortality and the secondary outcomes included the length of stay, mobility at 6 months, return to pre-fracture independence, activity limitations, pressure sores, and readmission to the hospital. RESULTS: Group A comprised 26 individuals, and the remaining 75 were in Group B. There were two deaths in Group A as compared to one death in Group B at 30 days; however, there were no new deaths at 1 year in Group A and 14 deaths in Group B (p = 0.187). Group B had lengthier hospital stays, poorer mobility, and higher physical and mental difficulties. No patients had re-operation on the initial fracture. CONCLUSION: This study emphasizes the importance of early admission and fast provision of surgical fixation to reduce mortality and morbidity. Benchmarking institutional practices allows for defining the evidence-practice gaps and barriers to best practice implementation. This is an essential step to begin care quality improvement for geriatric patients with proximal femur fragility fractures.

Development of delivery indicators and delivery enablers for cardiovascular disease in the UK: a modified Delphi study.

INTRODUCTION: Standards to define and measure quality in healthcare for cardiovascular disease risk reduction and secondary prevention are available, but there is a paucity of indicators that could serve as facilitators of structural change at a system level. This research study aimed to develop a range of delivery indicators to help cardiac clinical networks assess delivery of and progress towards cardiovascular disease objectives. METHODS: This study used an adapted version of the European Society of Cardiology's four-step process for the development of quality indicators. The four steps in this study were as follows: identify critical factors of enablement, construct a list of candidate indicators, select a final set of indicators and assess availability of national data for each indicator. In this iterative process, a core project group of six members was supported by a wider review group of 21 people from the National Health Service (NHS) clinical and management personnel database. RESULTS: The core project group identified six relevant cardiovascular disease priorities in the NHS Long Term Plan and used an iterative process to identify 21 critical factors that impact on their implementation. A total of 57 potential indicators that could be measures of implementation were developed. The core project group agreed on a set of 38 candidate indicators that were circulated to the review group for rating. Based on these scores, the core project group excluded 5 indicators to arrive at a final set of 33 delivery indicators. National datasets were available for 22 of the final indicators, which were designated as delivery indicators. The remaining 11, for which national datasets were not available but locally available datasets could be used, were designated as delivery enablers. CONCLUSION: The suite of delivery indicators and delivery enablers for cardiovascular disease could allow a more focused evaluation of factors that impact on delivery of healthcare for cardiovascular disease.

Expression of microRNAs during apheresis platelet storage up to day 14 in a blood bank in China.

BACKGROUND: Storage affects platelet microRNAs (miRNAs); discussing miRNA expression differences in apheresis platelets after varied storage periods is important for developing platelet quality measurement tools and identifying platelet storage lesion biomarkers. To our knowledge, the difference of MicroRNA expression profile in up to 14-day storage apheresis platelets has less relevant reports. STUDY DESIGN AND METHODS: Apheresis platelet bags from three donors were collected, divided into six groups, and stored for 1, 3, 5, 7, 9, and 14 days. miRNA expression was determined using quantitative reverse transcription polymerase chain reaction. Differentially expressed miRNAs were screened using RNA sequencing. RESULTS: MiRNA expression profiles showed that the six treatment groups generally highly expressed hsa-let-7 family, hsa-miR-26a-5p, hsa-miR-92a-3p, hsa-miR-199, and hsa-miR-103a-3p. A total of 15 miRNAs in the top 10 known miRNAs of the six groups were highly expressed. Time series analyses for the trend classification of 944 differentially expressed miRNAs indicated 43 genes with 14 trend changes. Hsa-miR-223-3p, hsa-miR-181a-5p, hsa-miR-4433b-5p, hsa-miR-22-3p, and hsa-miR-30c-5p were selected, and the qRT-PCR results also showed that they were significantly reduced under standard blood bank condition. DISCUSSION: Expression of microRNAs lays the foundation for further research on apheresis platelet storage lesions. Based on our results from information analysis and miRNA target gene prediction, we suggest hsa-miR-30c-5p as a biomarker of the quality and viability of apheresis platelets during storage in blood banks.