Innate and Adaptive Immunity during SARS-CoV-2 Infection: Biomolecular Cellular Markers and Mechanisms.

The coronavirus 2019 (COVID-19) pandemic was caused by a positive sense single-stranded RNA (ssRNA) severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, other human coronaviruses (hCoVs) exist. Historical pandemics include smallpox and influenza, with efficacious therapeutics utilized to reduce overall disease burden through effectively targeting a competent host immune system response. The immune system is composed of primary/secondary lymphoid structures with initially eight types of immune cell types, and many other subtypes, traversing cell membranes utilizing cell signaling cascades that contribute towards clearance of pathogenic proteins. Other proteins discussed include cluster of differentiation (CD) markers, major histocompatibility complexes (MHC), pleiotropic interleukins (IL), and chemokines (CXC). The historical concepts of host immunity are the innate and adaptive immune systems. The adaptive immune system is represented by T cells, B cells, and antibodies. The innate immune system is represented by macrophages, neutrophils, dendritic cells, and the complement system. Other viruses can affect and regulate cell cycle progression for example, in cancers that include human papillomavirus (HPV: cervical carcinoma), Epstein-Barr virus (EBV: lymphoma), Hepatitis B and C (HB/HC: hepatocellular carcinoma) and human T cell Leukemia Virus-1 (T cell leukemia). Bacterial infections also increase the risk of developing cancer (e.g., Helicobacter pylori). Viral and bacterial factors can cause both morbidity and mortality alongside being transmitted within clinical and community settings through affecting a host immune response. Therefore, it is appropriate to contextualize advances in single cell sequencing in conjunction with other laboratory techniques allowing insights into immune cell characterization. These developments offer improved clarity and understanding that overlap with autoimmune conditions that could be affected by innate B cells (B1+ or marginal zone cells) or adaptive T cell responses to SARS-CoV-2 infection and other pathologies. Thus, this review starts with an introduction into host respiratory infection before examining invaluable cellular messenger proteins and then individual immune cell markers.

Experiences with electronic health records: early adopters in long-term care facilities.

BACKGROUND: : Electronic health records (EHRs) are becoming a required technology across the health care sector. Long-term care (LTC) facilities have lagged other settings in adopting health information technologies but represent an area where significant care coordination benefits might be realized. Nevertheless, managers face many of the same challenges implementing EHRs that exist in other environments when implementing enterprise-wide systems. PURPOSES: : This study was conducted to provide a description of the early users' experiences with EHRs in LTC facilities. METHODOLOGY: : Semistructured interviews were conducted. The 10 sites were all the "freestanding" LTC facilities using an EHR as of July 2008 in Texas. The interview respondents included administrators, nursing managers, nurses, certified nurse aides, and other system users. Semistructured interviews across multiple stakeholders were used to assess constructs critical to EHR adoption and implementation. FINDINGS: : The LTC facility employees who work with EHR systems on a daily basis were positive about their experiences. In particular, operational improvements were achieved through increased access to resident information, cost avoidance, increased documentation accuracy, and implementation of evidence-based practices. PRACTICE IMPLICATIONS: : Overall, administrators believed that the systems improved care quality and employee satisfaction and were cost effective and that the EHR made a positive return on investment. Electronic documentation led to both increases in charge capture related to resource utilization group documentation, significant savings in pharmacy waste, and reductions in nursing overtime as medical record management became more automated. Quality improvement came from computer-aided monitoring of the certified nurse aide's attendance to residents' activities of daily living.

Assessment of blood pressure skills and belief in clinical readings.

BACKGROUND: Accurate blood pressure (BP) measurement is essential for the diagnosis and management of hypertension. In clinical practice, BP is estimated using noninvasive methods with significant variability of application of guidelines in clinical practice, impacting the accuracy and certainty of BP measurements. OBJECTIVE: We sought to assess how BP is measured in clinical practice. METHODS: A survey was administered through professional societies that included predominantly cardiologists. Assessment of adherence to guideline recommendations for BP assessment was measured and compared to the level of confidence in clinic BP measurement. RESULTS: There were 571 surveys completed. The majority of respondents were cardiologists (61.1%), with 47 preventive cardiologists. BP was routinely checked in both arms by 53% at the initial visit, 48% check BP once each visit, and 64% wait 5 min before initial BP assessment. Automated BP assessment is used by 58% respondents. The majority (83%) trust their BP readings, and those who trust their BP readings are more likely to perform the initial BP assessment themselves, compared to those who do not trust the clinic BP readings (30.2% vs. 13.6%, P = 0.009). Accurate BP measurement is performed by 23% of cardiologists, and more likely performed accurately by a preventive cardiologist (38.3%) compared with other cardiologists (20.0%, P = 0.007). Accurate BP measurement is more likely for those who perform the initial BP themselves rather than any other staff (36.8% vs. 17.9%; P<0.001); and for those who repeat BP manually (80% vs. 54%; P<0.001), compared to those who do not measure BP accurately. Despite the inaccuracy of BP measurement, there is a high level of confidence in the BP readings. CONCLUSIONS: Accurate BP assessment continues to remain suboptimal in clinical practice. Reliability of BP assessment requires education, identifying barriers to implementation of recommendations and engagement of the entire team to improve BP assessment.

Resistance is futile: but it is slowing the pace of EHR adoption nonetheless.

OBJECTIVE: The purpose of this study is to reassess the projected rate of Electronic Health Record (EHR) diffusion and examine how the federal government's efforts to promote the use of EHR technology have influenced physicians' willingness to adopt such systems. The study recreates and extends the analyses conducted by Ford et al. (1) The two periods examined come before and after the U.S. Federal Government's concerted activity to promote EHR adoption. DESIGN: Meta-analysis and bass modeling are used to compare EHR diffusion rates for two distinct periods of government activity. Very low levels of government activity to promote EHR diffusion marked the first period, before 2004. In 2004, the President of the United States called for a "Universal EHR Adoption" by 2014 (10 yrs), creating the major wave of activity and increased awareness of how EHRs will impact physicians' practices. MEASUREMENT: EHR adoption parameters--external and internal coefficients of influence--are estimated using bass diffusion models and future adoption rates are projected. RESULTS: Comparing the EHR adoption rates before and after 2004 (2001-2004 and 2001-2007 respectively) indicate the physicians' resistance to adoption has increased during the second period. Based on current levels of adoption, less than half the physicians working in small practices will have implemented an EHR by 2014 (47.3%). CONCLUSIONS: The external forces driving EHR diffusion have grown in importance since 2004 relative to physicians' internal motivation to adopt such systems. Several national forces are likely contributing to the slowing pace of EHR diffusion.

Testing the hospital value proposition: an empirical analysis of efficiency and quality.

PURPOSES: To assess the relationship between hospitals' X-inefficiency levels and overall care quality based on the National Quality Forum's 27 safe practices score and to improve the analytic strategy for assessing X-inefficiency. METHODOLOGY: The 2005 versions of the American Hospital Association and Leapfrog Group's annual surveys were the basis of the study. Additional case mix indices and market variables were drawn from the Centers for Medicare and Medicaid Services data sources and the Area Resource File. Data envelopment analysis was used to determine hospitals' X-inefficiency scores relative to their market-level competitors. Regression was used to assess the relationship between X-inefficiency and quality, controlling for organizational and market characteristics. Expenses (total and labor expenditures), case-mix-adjusted admissions, length of stay, and licensed beds defined the X-inefficiency function. The overall National Quality Forum's safe practice score, health maintenance organization penetration, market share, and teaching status served as independent control variables in the regression. FINDINGS: The National Quality Forum's safe practice scores are significantly and positively correlated to hospital X-inefficiency levels (beta = .105, p < or = .05). The analysis of the value proposition had very good explanatory power (adjusted R(2) = .414; p < or = .001; df = 7, 265). Contrary to earlier findings, health maintenance organization penetration and being a teaching hospital were positively related to X-inefficiency. Similar with others' findings, greater market share and for-profit ownership were negatively associated with X-inefficiency. PRACTICE IMPLICATIONS: Measurement of overall hospital quality is improving but can still be made better. Nevertheless, the National Quality Forum's measure is significantly related to efficiency and could be used to create differential pay-for-performance programs. A market-segmented analytic strategy for studying hospitals' efficiency yields results with a high degree of explanatory power.

Math at home adds up to achievement in school.

With a randomized field experiment of 587 first-graders, we tested an educational intervention designed to promote interactions between children and parents relating to math. We predicted that increasing math activities at home would increase children's math achievement at school. We tested this prediction by having children engage in math story time with their parents. The intervention, short numerical story problems delivered through an iPad app, significantly increased children's math achievement across the school year compared to a reading (control) group, especially for children whose parents are habitually anxious about math. Brief, high-quality parent-child interactions about math at home help break the intergenerational cycle of low math achievement.

Technological iatrogenesis: the manifestation of inadequate organizational planning and the integration of health information technology.

The Institute of Medicine (IOM) views Health Information Technology (HIT) as an essential organizational prerequisite for the delivery of safe, reliable, and cost-effective health services. However, HIT presents the proverbial double-edged sword in generating solutions to improve system performance while facilitating the genesis of novel iatrogenic problems. Incongruent organizational processes give rise to technological iatrogenesis or the unintended consequences to system integrity and the resulting organizational outcomes potentiated by incongruent organizational-technological interfaces. HIT is a disruptive innovation for health services organizations but remains an overlooked organizational development (OD) concern. Recognizing the technology-organizational misalignments that result from HIT adoption is important for leaders seeking to eliminate sources of system instability. The Health Information Technology Iatrogenesis Model (HITIM) provides leaders with a conceptual framework from which to consider HIT as an instrument for organizational development. Complexity and Diffusion of Innovation theories support the framework that suggests each HIT adoption functions as a technological change agent. As such, leaders need to provide operational oversight to managers undertaking system change via HIT implementation. Traditional risk management tools, such as Failure Mode Effect Analysis and Root Cause Analysis, provide proactive pre- and post-implementation appraisals to verify system stability and to enhance system reliability. Reconsidering the use of these tools within the context of a new framework offers leaders guidance when adopting HIT to achieve performance improvement and better outcomes.

Assessing differences between physicians' realized and anticipated gains from electronic health record adoption.

Return on investment (ROI) concerns related to Electronic Health Records (EHRs) are a major barrier to the technology's adoption. Physicians generally rely upon early adopters to vet new technologies prior to putting them into widespread use. Therefore, early adopters' experiences with EHRs play a major role in determining future adoption patterns. The paper's purposes are: (1) to map the EHR value streams that define the ROI calculation; and (2) to compare Current Users' and Intended Adopters' perceived value streams to identify similarities, differences and governing constructs. Primary data was collected by the Texas Medical Association, which surveyed 1,772 physicians on their use and perceptions of practice gains from EHR adoption. Using Bayesian Belief Network Modeling, value streams are constructed for both current EHR users and Intended Adopters. Current Users and Intended Adopters differ significantly in their perceptions of the EHR value stream. Intended Adopters' value stream displays complex relationships among the potential gains compared to the simpler, linear relationship that Current Users identified. The Current Users identify "Reduced Medical Records Costs" as the gain that governs the value stream while Intended Adopters believe "Reduced Charge Capture Costs" define the value stream's starting point. Current Users' versus Intended Adopters' assessments of EHR benefits differ significantly and qualitatively from one another.

Technological iatrogenesis: new risks force heightened management awareness.

Iatrogenesis is a term typically reserved to express the state of ill health or the adverse outcome resulting from a medical intervention, or lack thereof. Three types of iatrogenesis are described in the literature: clinical, social and cultural. This paper introduces a fourth type, technological iatrogenesis, or emerging errors stimulated by the infusion of technological innovations into complex healthcare systems. While health information technologies (HIT) have helped to make healthcare safer, this has also produced contemporary varieties of iatrogenic errors and events. The potential pitfalls of technological innovations and risk management solutions to address these concerns are discussed. Specifically, failure mode effect analysis and root cause analysis are discussed as opportunities for risk managers to prevent problems and avert errors from becoming sentinel events.