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This study explored using online crowdsourcing platforms like Amazon Mechanical Turk (MTurk) to identify and prioritize back pain research topics from patient perspectives. Researchers surveyed patients in a back pain registry (BOLD) and through MTurk to rank existing research topics and propose new ones. MTurk yielded over twice as many responses at a lower cost and faster timeline. Both groups prioritized identifying causes and effective diagnosis of back pain highest. BOLD proposed additional topics on comorbidities and healthcare systems, while MTurk proposed information on medication and work disability benefits. Using online crowdsourcing is a low-cost method to incorporate diverse patient input on research priorities.
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SWOT Assignment – CSUSB
Purpose:
In this assignment you will apply what you have learned from Chapters 2 and 3 by conducting a SWOT analysis of CSUSB.
Instructions
1. Use the layout template provided in the assignment details. Save it as a Word document and submit it to Blackboard.
2. Begin by populating the Strengths section of your chart. Identify what you perceive to be the strengths of CSUSB as compared to other universities. For example, answering the following questions should provide you with a start, but this list is not meant to be exhaustive:
a. What advantages does CSUSB have that others don’t have?
b. What does CSUSB do better than anyone else?
c. What resources can CSUSB access?
d. What do other people see as the strengths of CSUSB?
e. What accomplishments should CSUSB be most proud of?
f. What are the values of CSUSB and are they a strength or a weakness?
g. What is the reputation/brand of CSUSB and is it a strength or a weakness?
3. Continue to fill in the other three sections in your chart by:
a. Identifying the weaknesses of CSUSB compared to other universities.
b. Identifying opportunities that exist or will exist in the future (think environmental scan from Chapter 3) that CSUSB might be well positioned to take advantage of.
c. Identifying threats that exist or will exist in the future (again, think environmental scan from Chapter 3) that CSUSB will need to take steps to address in order to avoid.
4. Follow the layout example below. Use well written, bulleted sentences and make sure that you provide clear support for each of your bullet points. For example, you cannot simply state that the school has a good/bad reputation without providing a sentence or two to support your position.
RECOMMENDING AN EVIDENCE-BASED PRACTICE CHANGE
WALDEN UNIVERSITY
JULY 28, 2019
Recommending an Evidence-Based Practice Change
My Facilityl is focused on providing quality healthcare to all patients regardless of their differences.
The facility is has a culture of embracing change as long as it helps in improving the patients’ health outcomes.
However, since our hospital is a community-based health service facility, there are some of things that need to be changed.
The healthcare facility offers cancer services including screening and management services. Screening is offered to the community occasionally when the facility organizes cancer awareness where they get more cancer professionals from other hospitals to help provide screening services to the people.
Recommending an Evidence-Based Practice Change
The problem facing the healthcare facility currently is the lack of cancer screening awareness among the community members and enough oncologists.
Cancer screening services require advanced technology and machines to ensure detection and diagnosis of cancer.
Cancer is one of the top diseases causing high mortality rates around the world presently.
The federal and national government are the .
Weitzman 2013: PCORI: Transforming Health Care
This document summarizes a presentation given by Joe Selby on the Patient-Centered Outcomes Research Institute (PCORI). It discusses PCORI's mission to fund comparative clinical effectiveness research that is guided by patients and other stakeholders. Key points include: PCORI's focus on research questions of interest to patients and providers; its criteria for funding proposals, including patient-centeredness and engagement; and its plans to significantly increase funding for such research over time. Examples are given of funded pilot projects involving community health centers.
Outcomes Research
Outcomes research studies the effects of healthcare treatments and interventions on individuals, families, and communities. The Agency for Healthcare Research and Quality (AHRQ) and the Patient-Centered Outcomes Research Institute (PCORI) conduct outcomes research in the United States. Outcomes research can improve quality of care by establishing evidence-based practices and standards of care, but it also requires significant funding, may take a long time to conduct, and its recommendations may not be affordable or applicable.
Outcomes Research
Outcomes research studies the effects of healthcare treatments and interventions on individuals, families, and communities. The Agency for Healthcare Research and Quality (AHRQ) and the Patient-Centered Outcomes Research Institute (PCORI) conduct outcomes research in the United States. Outcomes research can improve quality of care by establishing evidence-based practices and standards of care, but it also requires significant funding, may take a long time to conduct, and its recommendations may not be affordable or meet accreditation standards in all cases.
Amia2016 pghd-panel-v8
This document summarizes a panel discussion on transforming patient-generated health data for wellness and biomedical research. The panelists were Susan Peterson, Katherine Kim, Fernando Martin-Sanchez, Cagatay Demiralp, and Pei-Yun Sabrina Hsueh (moderator). Peterson discussed using sensors and mobile apps to monitor cancer patients undergoing radiation therapy to detect early signs of dehydration. Kim discussed leveraging patient data for personalized care coordination. Martin-Sanchez discussed generating evidence from patient data to inform research. Demiralp discussed visualization of patient data. Overall the panel explored opportunities and barriers to using patient-generated data from behavioral sensing to clinical decision support.
Chapter 4 Knowledge Discovery, Data Mining, and Practice-Based Evi.docx
Chapter 4 Knowledge Discovery, Data Mining, and Practice-Based Evidence
Mollie R. Cummins
Ginette A. Pepper
Susan D. Horn
The next step to comparative effectiveness research is to conduct more prospective large-scale observational cohort studies with the rigor described here for knowledge discovery and data mining (KDDM) and practice-based evidence (PBE) studies.
Objectives
At the completion of this chapter the reader will be prepared to:
1.Define the goals and processes employed in knowledge discovery and data mining (KDDM) and practice-based evidence (PBE) designs
2.Analyze the strengths and weaknesses of observational designs in general and of KDDM and PBE specifically
3.Identify the roles and activities of the informatics specialist in KDDM and PBE in healthcare environments
Key Terms
Comparative effectiveness research, 69
Confusion matrix, 62
Data mining, 61
Knowledge discovery and data mining (KDDM), 56
Machine learning, 56
Natural language processing (NLP), 58
Practice-based evidence (PBE), 56
Preprocessing, 56
Abstract
The advent of the electronic health record (EHR) and other large electronic datasets has revolutionized efficient access to comprehensive data across large numbers of patients and the concomitant capacity to detect subtle patterns in these data even with missing or less than optimal data quality. This chapter introduces two approaches to knowledge building from clinical data: (1) knowledge discovery and data mining (KDDM) and (2) practice-based evidence (PBE). The use of machine learning methods in retrospective analysis of routinely collected clinical data characterizes KDDM. KDDM enables us to efficiently and effectively analyze large amounts of data and develop clinical knowledge models for decision support. PBE integrates health information technology (health IT) products with cohort identification, prospective data collection, and extensive front-line clinician and patient input for comparative effectiveness research. PBE can uncover best practices and combinations of treatments for specific types of patients while achieving many of the presumed advantages of randomized controlled trials (RCTs).
Introduction
Leaders need to foster a shared learning culture for improving healthcare. This extends beyond the local department or institution to a value for creating generalizable knowledge to improve care worldwide. Sound, rigorous methods are needed by researchers and health professionals to create this knowledge and address practical questions about risks, benefits, and costs of interventions as they occur in actual clinical practice. Typical questions are as follows:
•Are treatments used in daily practice associated with intended outcomes?
•Can we predict adverse events in time to prevent or ameliorate them?
•What treatments work best for which patients?
•With limited financial resources, what are the best interventions to use for specific types of patients?
•What types of indi ...
Paper Assignment # 2 Using your exploration from paper 1, .docx
Paper Assignment # 2
Using your exploration from paper 1, choose one (1) way to use health information
technology to address your identified community health related issue and describe
the process of implementation in a chosen context. Paper should be approximately
5-6 pages, (not including title or reference pages). It is to be written in APA format.
The following information needs to be included in the paper:
1. Introduce your idea and identify the context of how your HIT idea will be used
2. Discuss theoretical support for your idea
3. Identify a goal for your idea and three (3) objectives
4. Detail strategies you will take to implement your idea
5. Discuss anticipated barriers to implementation
Limited Developing Mastery
Introduction and
identification of
context
No introduction or
elementary
introduction with no
context or
supporting evidence
provided
Basic introduction
with limited
details and
minimal context or
supporting
evidence
Detailed introduction
of topic with context
and supporting
evidence provided.
Theoretical support,
goal statement and
objectives (Total 3
objectives must be
provided)
No theoretical
support, goal
statement or less
than 3 objectives
for proposed idea
Basic discussion of
theory, basic goal
statement and non-
specific objectives
Detailed, in-depth
discussion of how
theory applies to idea,
detailed goal
statement and (3)
specific measurable
objectives.
Process for
implementation and
anticipated barriers
No process of
implementation
presented or no
barriers identified
Limited process of
implementation
discussed with few
examples and
minimal discussion
of barriers
Detailed Process
of implementation
discussed,
multiple
examples, and
substantial
discussion of
barriers
Conclusion No conclusion
paragraph included
Basic conclusion Detailed conclusion of
topic
References 0-2 references 3-4 references 5 or more references
Paper Assignment #1
Some of the health related issues from the community commons report include being
overweight and obesity. These conditions increase a person's chances of dying from type 2
diabetes, hypertension, coronary heart disease, stroke, osteoarthritis, respiratory issues, and sleep
apnea, and breast, colon, and prostate cancers. Research shows that maintaining physical fitness
can help stop or decrease some to the chances in getting some of these illnesses.
Using the EHR System to Improve Outcomes for Older Adults
Studies conducted by nurses show that the effective use of Electronic Health Record
System (EHR) can progress results of significance to older adults suffering from pressure ulcers
and falls. Bowles and colleagues assessed the effect of an assimilated EHR in various hospitals
on the course and outcome indicators for patient falls and pressure ulcers acquired from the
hospitals. They discovered that the EHR system was linked with improved fall and pressure u.
My Research Projects
Rajeshwari Punekar is a researcher studying various health-related topics including work disability rates in cancer survivors compared to other chronic conditions, factors associated with community health centers providing enabling services, trends in employment-based health insurance, medical expenditures of cancer survivors, and mental health of cancer survivors and their spouses. Her roles include being a research assistant, co-investigator, and assistant data analyst. She uses large datasets and statistical methods like regression analysis to analyze topics and has worked on multiple research projects.
krista hamlin research post
This document discusses outcomes research, which studies the effects of healthcare treatments and interventions on individuals and populations. Outcomes can be measured at the individual, group, or organizational level, and in the short, intermediate, or long term. Outcomes research establishes evidence-based practices and evaluates care delivery. It is important for value-based care, where reimbursement is based on patient outcomes. The Agency for Healthcare Research and Quality and the Patient-Centered Outcomes Research Institute are two organizations that fund outcomes research to improve healthcare quality, safety, and value. While outcomes research aims to benefit patients, the document notes it could be less wasteful if different research organizations collaborated more on studies.
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MARKETING PRINCIPLESMKTG 305SWOT Assignment – CSUSB.docx
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Chapter 4 Knowledge Discovery, Data Mining, and Practice-Based Evi.docx
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Paper Assignment # 2 Using your exploration from paper 1, .docx
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URP_AT (1)
- 1. Using Online Crowd-Sourcing Platform (mTurk) to Prioritize Research Topics Among Patient Populations: Ghauri MS, Truitt AR, Malashanka S, Lawrence SO, Lavallee DC. Department of Surgery. University of Washington Introduction Lower back pain is one of the leading causes of work disability in the United States, estimating 240 billion dollars in annual medical care costs (WHO 2015) Clinicians and researchers have largely directed research priorities, creating a potential misalignment between what patients want to know and current research trajectories Research funders are looking into ways of allocating funds better To address this, we explore how to include patient perspectives about back pain research topic priorities Methods Results Additional Prioritization topics by frequency 1. Identifying complementary and alternative to surgery and medication 6. Education on drugs and medication use 2. Comorbidities 7. Identifying prophylactic measures to prevent LBP and pain management 3. Healthcare System Reform (referrals, cross-specialty) 8. Improving working disability insurance and return to work benefits 4. Improved communication between physicians and patients to help patients better interpret treatment/prevention strategies 9) Addiction and mental health counseling 5. Home-based self-care strategies 10)Treatment efficacy and outcomes research Future Directions BOLD 2 3 4 MTurk 6 7 8 9 Discussion Conclusion The ranking and frequency analysis conveys a discrepancy between researchers/clinicians and patients’ perspectives of important research topics MTurk had more than twice the response rate showing its efficacy as a recruitment strategy for low back pain research and the willingness of participants to incorporate their perspectives Both populations reveal new areas of focus for improving patient centered outcomes 1 4 10 Highest ranked research topics are the same between BOLD and MTurk, suggesting both strategies yield similar priorities. BOLD participants supplied additional topics about co-morbities and strategies to improve healthcare processes MTurk participants supplied additional topics about information about medication side effects, including addiction, and work disability insurance and return to work benefits Using MTurk with incentives cost a $600 and approximately 2 months of staff time in comparison to BOLD which took over a year and a half to obtain similar results • What can be done to contain and reverse the epidemic of LBP in developed countries • What are the “best” strategies for treating LBP • How can we improve self-care strategies and stimulate self- reliance among persons with chronic or recurrent LBP Researcher/Clinician Highest Ranked Research Topics • What are the causes of low back pain? • What are effective tests to diagnose lower back pain • How should lower back pain be defined? BOLD • What are the causes of low back pain? • What are effective tests to diagnose lower back pain • How can the burden of lower back pain be reduced? MTurk Patient registries provide an opportunity for getting patients involved in identifying and prioritizing research topics. However, further work is needed to improve the translation of patient priorities into clinical practice Online crowd-sourcing platforms may serve as a possible venue for cheap and efficient research topics identification Further work should explore strategies to incorporate diverse perspectives Recruitment and Data Collection Participants were recruited in two ways: Back Pain Outcomes Using Longitudinal Data (BOLD) registry and MTurk Each recruitment method utilized the same survey that asked participants to rank research topics from a list of priorities previously established (cite) and add any additional topics, as well as demographic information Addressed the limitation of the BOLD registry : wider demographic under the age of 65 BOLD BOLD is a patient registry of adults 65 and older with lower back pain recruited from two major healthcare systems Amazon Mechanical Turk (MTurk) is an online crowd-sourcing platform Completed a screening survey to identify back pain, paralleling BOLD processes Data Analysis Using descriptive statistics, we compared the participants from each recruitment method We categorized the prioritized the topics by frequency for each group We qualitatively analyzed the additional topics identified Participants 351 of the 480 MTurk participants (74%) completed the prioritization survey 931 of the total 3162 (29%) eligible BOLD participants responded Demographics Acknowledgements This project was supported by contract number ME-1310-07328 from the Patient-Centered Outcomes Research Institute (PCORI). The content is solely the responsibility of the authors and does not necessarily represent the official views of the PCORI. Worker characteristics BOLD (N=4131) MTurk (N=351) Age 73 (mean) 37 (mean) Sex Female 3098 (74%) 234 (67%) Male 1033 (26%) 114 (33%) Ethnicity/Race Caucasian 69 (%) 299 (83%) Non-Hispanic 93 (%) 322 (92%) Education HS grad or more 3820 (70%) 344 (86%) RMDQ 12.8 (mean) 11.3 (mean) Pain Duration > 5 yr 17 (%) 44 (%)