Category: Uncategorized

Assessment Description

Read “Case 4: Research on Intimate Partner Violence and the Duty to Protect” located in Appendix A: Case Studies for Ethical Decision Making, in your textbook. Once you have read the case study, complete the questions in the Research on Intimate Partner Violence and the Duty to Protect document. Use one to two scholarly resources to support your answer. When appropriate, use in-text citations according to APA formatting.

Write 3-5 pages about what constitutes a high-quality early childhood program or policy by evaluating a current policy or policy initiative.

Introduction

The preschool years (ages 3-5) are an exciting time of growth and change. Perhaps the greatest areas of change are within the cognitive and language domains. The average 24-month-old has a vocabulary of 250 words and can put two words together in a simple sentence. A four-year-old can speak in multi-word sentences; use prepositions, adjectives, and pronouns; and will, of course, ask millions of questions.

Preschoolers are also growing in terms of their ability to form friendships, play with others, and take those initial, crucial steps toward independence. Rather than simply playing next to another child, like a two-year-old, a four-year-old can create a game with his peers, pretend that a box is a house, and role-play some of the situations that play out in his daily life, like going to the grocery store or to the bank. Play is a critical component of learning for children in this age group, as it helps them make meaning from their worlds and extends their innate curiosity to learn.

Many families begin to consider early childhood education environments for their preschoolers. The research on the benefits of these programs is significant. Children who attend high quality learning programs tend to be able to resolve conflicts well, are self-regulated, and learn to trust other adults in the school setting. Low quality settings, however, may have the opposite effects on preschoolers’ growth and development.

Note: Because the assessments in this course move progressively through periods of child development, you are encouraged to complete them in sequential order, 1-5.

Early childhood education (birth-age eight) is at the top of the national agenda, yet many children do not have access to the educational settings that they need. For this assessment, write 3-5 pages about what constitutes a high-quality early childhood program or policy by evaluating the success of an existing initiative.

Address the following:

Describe the characteristics of high-quality early childhood programs.

Discuss and give examples of at least three benefits of early childhood education. Use scholarly research findings to support your position.

Apply psychological theories to a policy or policy initiative relating to early childhood education, such as No Child Left Behind (NCLB), Individuals with Disabilities Education Act (IDEA), Early Intervention, Head Start, Every Student Succeeds Act (ESSA) or another program of your choosing. Include details about how the program is implemented and what population it aims to serve.

Explain how early childhood education and policy affect the physical, social, and cognitive aspects of child development. Use scholarly research findings to support your position.

You are urged to use the Capella Writing Center to help you develop clear and effective writing. Through the Writing Center, you will be able to receive feedback on your writing, use writing resources, discover new writing strategies, and explore different ways to draft, revise, edit, and proofread your own work.

If you wish, you may use the APA Paper Template [DOCX] to complete your assessment.

Additional Requirements

Written communication: Ensure that your writing is free of errors that detract from the overall message.

APA formatting: Format your paper according to APA style.

Length: Write 3-5 typed and double-spaced pages.

Font and font size: Times New Roman, 12 point.

Portfolio Prompt: You may choose to save this learning activity to your ePortfolio.

Competencies Measured

By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria:

Competency 1: Describe physical, social, and cognitive aspects of child development.

Describe the characteristics and benefits of high-quality early childhood programs.

Explain how early childhood education and policy affect the physical, social, and cognitive domains of child development.

Competency 2: Apply psychological theories to topics in child development.

Apply psychological theories to a policy or policy initiative as it relates to early childhood education.

Competency 3: Apply scholarly research findings to topics in child development.

Apply scholarly research findings to topics in childhood education.

Competency 4: Communicate in a manner that is scholarly, professional, and consistent with expectations for professionals in the field of psychology.

Write coherently to support a central idea with correct grammar, usage, and mechanics as expected of a psychology professional.

Use APA format and style.

• Draft a hypothesis upon which you will develop your research proposal. I will provide feedback and you will revise the hypothesis, if needed.
• Grading criteria:
  • Independent variable included – 20 points (The thing that you are manipulating/controlling/the overall system)
  • Dependent variable included – 15 points (The thing that you hope to influence)
  • Hypothesis/Question is clear – 15 points

Please respond to each of the 3 posts with 3 APA sources no older than 5 years old. APA format must be exceptional. 

Reply 1

Professor,

How can big data impact prescription errors?  Be specific and provide examples. Who should be on the team to implement this project and why? Support your work with the literature.  

Reply 2

Ruth Niyasimi,

Big Data Risks and Rewards

Big data is defined as the process of collecting, analyzing, and leveraging consumer patient, physical, and clinical data that is too vast or complex to be understood by traditional means of data processing. In healthcare, data is generated from medical records, patient portals, government agencies, research studies, electronic health records, and medical devices. The data generated in healthcare is used to make decisions that will have an impact on patient health outcomes (Raghupathi & Raghupathi, 2014). Healthcare is a critical docket in our society since it is tasked with a duty to prevent, diagnose and treat illnesses and diseases affecting the community. In the past, health information was stored on paper but through advancements in technology, things have significantly changed as patient information is stored on Electronic health records (EHR).

            The adoption of big data had significant impacts on customer services and other related issues. According to Raghupathi and Raghupathi (2014), for many years, healthcare has been generating huge volumes of data that was stored in hardcopy. This was a critical step toward improving the quality of healthcare delivery while reducing costs. This huge volume of information is crucial to healthcare because, through digitalization, it has become possible to detect diseases at an early stage and take necessary intervention measures. Secondly, big data enables the ability to enhance continuity, starting when a patient visits a hospital until the last stage of being discharged.  For example, the lab tests taken from those patients and other specialized treatments are stored in a way that other departments can access this information in the future preventing duplicate redoing labs and imaging studies (Adibuzzaman et al., 2017). This cuts down costs while improving service delivery.

            Although big data has had a tremendous impact on the healthcare systems, it has also created some problems. Firstly, the use of technology such as EHR has resulted in security issues and privacy threats. According to McGonigle and Mastrian (2017), technology has enabled the interoperability of healthcare data. Interoperability means sharing important health data across different organizations while ensuring it is presented understandably to the user.  Unauthorized third parties can intersect this information and the Health Insurance Portability and Accountability Act (HIPPA) has shown little concern for patient data breach cases. Another problem is that big data is not static, it requires continuous system updates to ensure that it remains relevant and current. In some cases, few datasets will require updates after electronic health records to store patient/client’s personal details. Some require to be updated after a few seconds while other information might take some time to change. Therefore, sometimes it is hard for mental health specialists to understand the volatility of big data or how often it requires changes. Thus, this might be a challenge for organizations that do not monitor their data assets consistently.

            Several strategies can be implemented to effectively mitigate challenges arising from the use of big data. Ensuring that data is presented in a common manner and type will facilitate the easy transfer of information (Dash et al., 2019). Another strategy for solving the security risks brought by the use of big data is data encryption to ensure information is safe and protected from malicious people. Besides, there is needed to upgrade healthcare systems to ensure information is shared efficiently across authorized organizations. In summary, the adoption of big data in healthcare has improved customer services and ensured easy data retrieval.

References

Adibuzzaman, M., DeLaurentis, P., Hill, J. & Benneyworth, B. (2017). Big Data in Healthcare – the Promises, Challenges and Opportunities from a Research Perspective: A case study with a model database. AMIA Annual Symposium Proceedings Archive, 2017, 384-392.

Dash, S., Shakyawar, S. K., Sharma, M., & Kaushik, S. (2019). Big Data in Healthcare: Management, Analysis and Future Prospects. Journal of Big Data, 6(1), 1-25.

McGonigle, D., & Mastrian, K. (2021). Nursing informatics and the foundation of knowledge. Jones & Bartlett Publishers.

Raghupathi, W., & Raghupathi, V. (2014). Big Data Analytics in Healthcare: Promise and Potential. Health Information Science and Systems, 2(1), 1-10.

Reply 3

Elia Vazquez,

Big Data Means Big Potential, Challenges for Nurses

Big data in health encompasses a wide variety of aspects, clinical, environmental, lifestyle information, it is biologically diverse. These data are collected from single individuals to large cohorts, according to their health and wellness status, all at once or over a period of time. The availability of big data provides an opportunity for the healthcare providers to improve health outcomes while containing costs (McGonigle & Mastrian, 2021). Big data, helps to identify and promptly intervene on high-risk and high cost-patients, this is achieved through effective ways of managing the data to facilitate precise treatment. It helps in detention of heterogeneity in patient responses to treatments and tailoring of healthcare to the specific needs of individuals.

Also, big data in healthcare can contribute by increasing the effectiveness and quality of treatment by identifying early signs and symptoms as well as disease intervention, reducing the probability of adverse reactions. Additionally, it helps in widening possibilities for prevention of diseases by identification of risk factors for disease and improvement of pharmacovigilance.  Patient safety through the ability to make more informed medical decisions based on directly delivered information to the patients is another benefit (Frith & Hoy, 2017).  Predictive analytics can contribute to precise public health by improving surveillance and assessments therefore, gathering a large amount of data, creating enough resources that can be used in epidemiological research. The health needs of the population, the evaluation of population-based intervention and informed policy making are all made possible by the availability of big data however, big data in public health faces several challenges such as security, visualization, and a number of data integrity concerns. Capturing data that is clean, complete, accurate, and formatted correctly for its use in multiple systems is also a big challenge to accomplish, mainly because of poor Electronic Health Records, convoluted workflows, and an incomplete understanding of why big data is important to be captured well and can all contribute to quality issues that will plague data through its lifecycle (Aceto, et al., 2020). The issue of dirty data is another challenge the use of big data in the health care sector faces. Storage of data is another challenge, because as the volume of data grows exponentially, some providers may find it difficult to manage the costs and impacts of on premise data centers. Data security is another problem that most organizations face, resulting from high breaches, hackings and ransomware incidences making healthcare data vulnerable to several attacks.

To minimize these challenges and risks, it is needed to put in place several mitigations to protect this technology. The first mitigation is the adoption of seamless and diverse health care technologies that helps in gaining deeper insights into clinical and organizational processes. It should also facilitate faster and safer protection of healthcare data. Also, the technology should create more efficiency and help improve patient flow, safety, quality of care and the overall patient experience. According to Frith & Hoy (2017), some of the organizations that have used seamless integration in their data operations includes the South Tyneside NHS Foundation Trust, a provider of acute and community health services in Northeast England. Through this, high quality, safe and compassionate care of patients at all times has been improved at the same time enhancement of data protection.

References

Aceto, G., Persico, V., & Pescapé, A. (2020). Industry 4.0 and health: Internet of things, big data, and cloud computing for healthcare 4.0. Journal of Industrial Information Integration, 18, 100129.

Frith, K. H., & Hoy, H. M. (Eds.). (2017). Applied clinical informatics for nurses. Jones & Bartlett Learning.

McGonigle, D., & Mastrian, K. (2021). Nursing informatics and the foundation of knowledge. Jones & Bartlett Publishers.

Just for Reference:  if the references still support your PICOT question you may re-use them. Some students have changed or altered their original idea or the original articles were general in nature on the topic and do not research the effect of the intervention on an outcome. In these cases it will be necessary to search again.

A few others have asked me if they can change their topic because they cannot find good research. At this point it is still ok to make a change, but the one you make this week will need to be the permanent one for the rest of the course. We have you use the same topic so that you can see clearly the process for EBP.

The Assignment (Evidence-Based Project)

Part 2: Advanced Levels of Clinical Inquiry and Systematic Reviews

Create a 6- to 7-slide PowerPoint presentation in which you do the following:

• Identify and briefly describe your chosen clinical issue of interest.
• Describe how you developed a PICO(T) question focused on your chosen clinical issue of interest.
• Identify the four research databases that you used to conduct your search for the peer-reviewed articles you selected.
• Provide APA citations of the four relevant peer-reviewed articles at the systematic-reviews level related to your research question. If there are no systematic review level articles or meta-analysis on your topic, then use the highest level of evidence peer reviewed article.
• Describe the levels of evidence in each of the four peer-reviewed articles you selected, including an explanation of the strengths of using systematic reviews for clinical research. Be specific and provide examples.

 ***Assignment: The ppt for this week’s assignment requires you to identify the levels of evidence for the 4 studies you have chosen relative to your PICOT question. You do not need to summarize the articles, just identify level of evidence which is based on the methodology.

Here is a reminder of levels of evidence for you:

Level of evidence (LOE)

Description

Level I

Evidence from a systematic review or meta-analysis of all relevant RCTs (randomized controlled trial) or evidence-based clinical practice guidelines based on systematic reviews of RCTs or three or more RCTs of good quality that have similar results.

Level II

Evidence obtained from at least one well-designed RCT (e.g. large multi-site RCT).

Level III

Evidence obtained from well-designed controlled trials without randomization (i.e. quasi-experimental).

Level IV

Evidence from well-designed case-control or cohort studies.

Level V

Evidence from systematic reviews of descriptive and qualitative studies (meta-synthesis).

Level VI

Evidence from a single descriptive or qualitative study.

Level VII

Evidence from the opinion of authorities and/or reports of expert committees.

THIS IS THE PICOT QUESTION TO USE:  Can pain management among surgical patients that employ both pharmacological and non-pharmacological interventions compared to approaches using only medication produce improved perception of pain control over one year? 

Read the following attached articles:

 A Profile in Population Health Management: The Sandra Eskenazi Center for Brain Care Innovation: This Care Model Emphasizes Social, Behavioral, and Environmental Determinants of Health When Treating Dementia 

 Accounting for Accountable Care: Value-Based Population Health Management

 How Executives’ Expectations and Experiences Shape Population Health Management Strategies 

Watch the following video:

What Is Population Health? (https://www.youtube.com/watch?v=AtBYryLAveE)

After the passage of the Patient Protection and Affordable Care Act of 2010, health care organizations have been faced with significant challenges in providing quality care to all Americans. HealthyPeople.gov  (https://health.gov/healthypeople) also encourages health care organizations to focus on the relevance of social determinants and health status.                                                                                                                                                

Take on the role of the administrator of a community hospital in Atlanta, Georgia. You would like to implement a strategic plan to improve the health status of your community. Select a vulnerable population in Atlanta, Georgia affected by a disease or condition. Examples include aging, COVID-19, diabetes, Ebola, heart disease, opioid epidemics, Zikavirus, etc. In three to five pages, detail your strategic plan to address the following:

• Describe the population, including demographics and risk factors that determine health in this population.
• Explain the disease or condition prevalent in this population.
• Identify access and barriers to health care and treatment options for this population, including local, state, and federal policies regulating the control and prevention of your selected disease or condition in this population.
• Propose at least three strategies to improve the health of the selected population.
• Develop at least three key indicators to measure the success of your proposed population health management.
• Support your response with a minimum of three scholarly sources published in the last 5 years formatted according to APA Style.

The purpose of assignment is  to analyze the quality of care and financial impact of the government’s initiative of accountable care organizations. This assignment is intended to show evidence of achievement of: the ability to find organizational information relative to mission, vision, organizational structure and impact on health care.

An accountable care organization is a network of providers that share responsibility for providing care to patients. In this assignment, the focus is on an a specific accountable care organization that has been in existence for a minimum of three years in the state of Texas.

• Identify a CMS designated accountable care organization and summarize the organizational structure. 
• For the selected accountable care organization: 
  • Identify the organization’s vision and core principles.
  • Evaluate the organization’s approach to practice transformation and consumer engagement.
  • Describe the interoperability of information among the providers and consumer stakeholders
  • Summarize how the accountable care organization impacts the quality of healthcare for the designated population. What metrics are used and how does the ACO compare to other ACOs?
  • Evaluate the specific accountable Care Organization’s financial savings
• 3 sources needed