This document provides an overview of using data and evidence to support public health program development and decision making. It discusses finding health statistics from sources like the CDC to determine community needs, promote evidence-based practices, and secure funding. Tutorials cover identifying the type of data needed, accessing CDC sources like the Breastfeeding Report Card and PRAMS surveillance system, and developing competencies in critical thinking, database navigation, and monitoring systems. A case study example examines Louisiana breastfeeding data to argue for including the state in a national breastfeeding promotion program.
Decision Support System Enabled Data Warehouses for Improving the Analytic Ca...MEASURE Evaluation
“Decision Support Systems for Improving the Analytic Capacity of HIS in Developing Countries”
Mike Edwards (MEASURE Evaluation), Presenter. Co-author: Theo Lippeveld (MEASURE Evaluation)
Presentation given
Decision Support System Enabled Data Warehouses for Improving the Analytic Ca...MEASURE Evaluation
“Decision Support Systems for Improving the Analytic Capacity of HIS in Developing Countries”
Mike Edwards (MEASURE Evaluation), Presenter. Co-author: Theo Lippeveld (MEASURE Evaluation)
Presentation given
“Feedback from Parallel Session on Monitoring Progress” (English)EveryWomanEveryChild
"Feedback from Parallel Session on Monitoring Progress." (English)
Presentations to the Second Stakeholders Meeting on Implementing the Recommendations of the Commission on Information and Accountability for Women's and Children's Health, Ottawa.
Session 3D: Global Monitoring of Progress
21-22 November 2011
Leveraging Analytics to Identify High Risk PatientsCitiusTech
A predictive analytics platform can help healthcare providers identify which patients and team members could be at the highest risk for severe illness / hospitalization.
Presentation 90-10-funding-opportunity-for-health-infomation-exchangesOrion Health
How can HIEs access 90/10 and Federal funding and expand their exchange
We examined the opportunities to capture funding from CMS to develop core HIE services, public health infrastructure, electronic Clinical Quality Measurement (eCQM) infrastructure, and provider onboarding.
This webinar demonstrated how to some innovative HIEs are leveraging these grants and have elected multiple funded activities to boost growth, expand regional interoperability, and upgrade to higher performing technology stacks.
George Beckett, Chief Business Development Officer at the Cedar Bridge Group and Orion Health’s Director, Laura Young, about the process to request funding for health information exchange (HIE) infrastructure.
In this webinar, we explained:
1. The CMS 90/10 funding opportunities for private and public HIEs
2. The funding strategy used by NDHIN and their 5-year business plan
3- How NDHIN has created a solid data foundation for their data strategy and how they are expanding their infrastructure
“Feedback from Parallel Session on Monitoring Progress” (English)EveryWomanEveryChild
"Feedback from Parallel Session on Monitoring Progress." (English)
Presentations to the Second Stakeholders Meeting on Implementing the Recommendations of the Commission on Information and Accountability for Women's and Children's Health, Ottawa.
Session 3D: Global Monitoring of Progress
21-22 November 2011
Leveraging Analytics to Identify High Risk PatientsCitiusTech
A predictive analytics platform can help healthcare providers identify which patients and team members could be at the highest risk for severe illness / hospitalization.
Presentation 90-10-funding-opportunity-for-health-infomation-exchangesOrion Health
How can HIEs access 90/10 and Federal funding and expand their exchange
We examined the opportunities to capture funding from CMS to develop core HIE services, public health infrastructure, electronic Clinical Quality Measurement (eCQM) infrastructure, and provider onboarding.
This webinar demonstrated how to some innovative HIEs are leveraging these grants and have elected multiple funded activities to boost growth, expand regional interoperability, and upgrade to higher performing technology stacks.
George Beckett, Chief Business Development Officer at the Cedar Bridge Group and Orion Health’s Director, Laura Young, about the process to request funding for health information exchange (HIE) infrastructure.
In this webinar, we explained:
1. The CMS 90/10 funding opportunities for private and public HIEs
2. The funding strategy used by NDHIN and their 5-year business plan
3- How NDHIN has created a solid data foundation for their data strategy and how they are expanding their infrastructure
A series of modules on project cycle, planning and the logical framework, aimed at team leaders of international NGOs in developing countries.
Part 8 of 11
Data science and the use of big data in healthcare delivery could revolutionize the field by decreasing costs and vastly improving efficiency and outcomes. There is an abundance of healthcare data in Canada, but it is mostly siloed and difficult to access due to privacy and security challenges. This session will offer insights into best practices for healthcare analytics programs, as well as use cases that demonstrate the potential benefits that can be realized through this work.
ODF III - 3.15.16 - Day Two Morning SessionsMichael Kerr
Slide presentations delivered during morning sessions of Day Two of the California Statewide Health and Human Services Open DataFest - March 14 - 15, 2016, Sacramento, CA
Ozempic: Preoperative Management of Patients on GLP-1 Receptor Agonists Saeid Safari
Preoperative Management of Patients on GLP-1 Receptor Agonists like Ozempic and Semiglutide
ASA GUIDELINE
NYSORA Guideline
2 Case Reports of Gastric Ultrasound
ARTIFICIAL INTELLIGENCE IN HEALTHCARE.pdfAnujkumaranit
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. It encompasses tasks such as learning, reasoning, problem-solving, perception, and language understanding. AI technologies are revolutionizing various fields, from healthcare to finance, by enabling machines to perform tasks that typically require human intelligence.
Tom Selleck Health: A Comprehensive Look at the Iconic Actor’s Wellness Journeygreendigital
Tom Selleck, an enduring figure in Hollywood. has captivated audiences for decades with his rugged charm, iconic moustache. and memorable roles in television and film. From his breakout role as Thomas Magnum in Magnum P.I. to his current portrayal of Frank Reagan in Blue Bloods. Selleck's career has spanned over 50 years. But beyond his professional achievements. fans have often been curious about Tom Selleck Health. especially as he has aged in the public eye.
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Introduction
Many have been interested in Tom Selleck health. not only because of his enduring presence on screen but also because of the challenges. and lifestyle choices he has faced and made over the years. This article delves into the various aspects of Tom Selleck health. exploring his fitness regimen, diet, mental health. and the challenges he has encountered as he ages. We'll look at how he maintains his well-being. the health issues he has faced, and his approach to ageing .
Early Life and Career
Childhood and Athletic Beginnings
Tom Selleck was born on January 29, 1945, in Detroit, Michigan, and grew up in Sherman Oaks, California. From an early age, he was involved in sports, particularly basketball. which played a significant role in his physical development. His athletic pursuits continued into college. where he attended the University of Southern California (USC) on a basketball scholarship. This early involvement in sports laid a strong foundation for his physical health and disciplined lifestyle.
Transition to Acting
Selleck's transition from an athlete to an actor came with its physical demands. His first significant role in "Magnum P.I." required him to perform various stunts and maintain a fit appearance. This role, which he played from 1980 to 1988. necessitated a rigorous fitness routine to meet the show's demands. setting the stage for his long-term commitment to health and wellness.
Fitness Regimen
Workout Routine
Tom Selleck health and fitness regimen has evolved. adapting to his changing roles and age. During his "Magnum, P.I." days. Selleck's workouts were intense and focused on building and maintaining muscle mass. His routine included weightlifting, cardiovascular exercises. and specific training for the stunts he performed on the show.
Selleck adjusted his fitness routine as he aged to suit his body's needs. Today, his workouts focus on maintaining flexibility, strength, and cardiovascular health. He incorporates low-impact exercises such as swimming, walking, and light weightlifting. This balanced approach helps him stay fit without putting undue strain on his joints and muscles.
Importance of Flexibility and Mobility
In recent years, Selleck has emphasized the importance of flexibility and mobility in his fitness regimen. Understanding the natural decline in muscle mass and joint flexibility with age. he includes stretching and yoga in his routine. These practices help prevent injuries, improve posture, and maintain mobilit
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Ve...kevinkariuki227
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
New Directions in Targeted Therapeutic Approaches for Older Adults With Mantl...i3 Health
i3 Health is pleased to make the speaker slides from this activity available for use as a non-accredited self-study or teaching resource.
This slide deck presented by Dr. Kami Maddocks, Professor-Clinical in the Division of Hematology and
Associate Division Director for Ambulatory Operations
The Ohio State University Comprehensive Cancer Center, will provide insight into new directions in targeted therapeutic approaches for older adults with mantle cell lymphoma.
STATEMENT OF NEED
Mantle cell lymphoma (MCL) is a rare, aggressive B-cell non-Hodgkin lymphoma (NHL) accounting for 5% to 7% of all lymphomas. Its prognosis ranges from indolent disease that does not require treatment for years to very aggressive disease, which is associated with poor survival (Silkenstedt et al, 2021). Typically, MCL is diagnosed at advanced stage and in older patients who cannot tolerate intensive therapy (NCCN, 2022). Although recent advances have slightly increased remission rates, recurrence and relapse remain very common, leading to a median overall survival between 3 and 6 years (LLS, 2021). Though there are several effective options, progress is still needed towards establishing an accepted frontline approach for MCL (Castellino et al, 2022). Treatment selection and management of MCL are complicated by the heterogeneity of prognosis, advanced age and comorbidities of patients, and lack of an established standard approach for treatment, making it vital that clinicians be familiar with the latest research and advances in this area. In this activity chaired by Michael Wang, MD, Professor in the Department of Lymphoma & Myeloma at MD Anderson Cancer Center, expert faculty will discuss prognostic factors informing treatment, the promising results of recent trials in new therapeutic approaches, and the implications of treatment resistance in therapeutic selection for MCL.
Target Audience
Hematology/oncology fellows, attending faculty, and other health care professionals involved in the treatment of patients with mantle cell lymphoma (MCL).
Learning Objectives
1.) Identify clinical and biological prognostic factors that can guide treatment decision making for older adults with MCL
2.) Evaluate emerging data on targeted therapeutic approaches for treatment-naive and relapsed/refractory MCL and their applicability to older adults
3.) Assess mechanisms of resistance to targeted therapies for MCL and their implications for treatment selection
Flu Vaccine Alert in Bangalore Karnatakaaddon Scans
As flu season approaches, health officials in Bangalore, Karnataka, are urging residents to get their flu vaccinations. The seasonal flu, while common, can lead to severe health complications, particularly for vulnerable populations such as young children, the elderly, and those with underlying health conditions.
Dr. Vidisha Kumari, a leading epidemiologist in Bangalore, emphasizes the importance of getting vaccinated. "The flu vaccine is our best defense against the influenza virus. It not only protects individuals but also helps prevent the spread of the virus in our communities," he says.
This year, the flu season is expected to coincide with a potential increase in other respiratory illnesses. The Karnataka Health Department has launched an awareness campaign highlighting the significance of flu vaccinations. They have set up multiple vaccination centers across Bangalore, making it convenient for residents to receive their shots.
To encourage widespread vaccination, the government is also collaborating with local schools, workplaces, and community centers to facilitate vaccination drives. Special attention is being given to ensuring that the vaccine is accessible to all, including marginalized communities who may have limited access to healthcare.
Residents are reminded that the flu vaccine is safe and effective. Common side effects are mild and may include soreness at the injection site, mild fever, or muscle aches. These side effects are generally short-lived and far less severe than the flu itself.
Healthcare providers are also stressing the importance of continuing COVID-19 precautions. Wearing masks, practicing good hand hygiene, and maintaining social distancing are still crucial, especially in crowded places.
Protect yourself and your loved ones by getting vaccinated. Together, we can help keep Bangalore healthy and safe this flu season. For more information on vaccination centers and schedules, residents can visit the Karnataka Health Department’s official website or follow their social media pages.
Stay informed, stay safe, and get your flu shot today!
Title: Sense of Taste
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
Lung Cancer: Artificial Intelligence, Synergetics, Complex System Analysis, S...Oleg Kshivets
RESULTS: Overall life span (LS) was 2252.1±1742.5 days and cumulative 5-year survival (5YS) reached 73.2%, 10 years – 64.8%, 20 years – 42.5%. 513 LCP lived more than 5 years (LS=3124.6±1525.6 days), 148 LCP – more than 10 years (LS=5054.4±1504.1 days).199 LCP died because of LC (LS=562.7±374.5 days). 5YS of LCP after bi/lobectomies was significantly superior in comparison with LCP after pneumonectomies (78.1% vs.63.7%, P=0.00001 by log-rank test). AT significantly improved 5YS (66.3% vs. 34.8%) (P=0.00000 by log-rank test) only for LCP with N1-2. Cox modeling displayed that 5YS of LCP significantly depended on: phase transition (PT) early-invasive LC in terms of synergetics, PT N0—N12, cell ratio factors (ratio between cancer cells- CC and blood cells subpopulations), G1-3, histology, glucose, AT, blood cell circuit, prothrombin index, heparin tolerance, recalcification time (P=0.000-0.038). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and PT early-invasive LC (rank=1), PT N0—N12 (rank=2), thrombocytes/CC (3), erythrocytes/CC (4), eosinophils/CC (5), healthy cells/CC (6), lymphocytes/CC (7), segmented neutrophils/CC (8), stick neutrophils/CC (9), monocytes/CC (10); leucocytes/CC (11). Correct prediction of 5YS was 100% by neural networks computing (area under ROC curve=1.0; error=0.0).
CONCLUSIONS: 5YS of LCP after radical procedures significantly depended on: 1) PT early-invasive cancer; 2) PT N0--N12; 3) cell ratio factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) LC characteristics; 9) LC cell dynamics; 10) surgery type: lobectomy/pneumonectomy; 11) anthropometric data. Optimal diagnosis and treatment strategies for LC are: 1) screening and early detection of LC; 2) availability of experienced thoracic surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunoradiotherapy for LCP with unfavorable prognosis.
micro teaching on communication m.sc nursing.pdfAnurag Sharma
Microteaching is a unique model of practice teaching. It is a viable instrument for the. desired change in the teaching behavior or the behavior potential which, in specified types of real. classroom situations, tends to facilitate the achievement of specified types of objectives.
NVBDCP.pptx Nation vector borne disease control programSapna Thakur
NVBDCP was launched in 2003-2004 . Vector-Borne Disease: Disease that results from an infection transmitted to humans and other animals by blood-feeding arthropods, such as mosquitoes, ticks, and fleas. Examples of vector-borne diseases include Dengue fever, West Nile Virus, Lyme disease, and malaria.
NVBDCP.pptx Nation vector borne disease control program
Evidence-based Program Development
1. Data Driven and Evidence-based Program Development “Finding, understanding and disseminating data and statistics: From the CDC to YOU!”
2. Overview “It is important in decision-making, policy development, and the establishment of new programs to improve public health that these initiatives be supported by scientific evidence. “ (www.phpartners.org) The ability to find, use and disseminate health statistics and data allows the PH practitioner to: Determine specific needs of various groups at the community, state and national levels Promote behavior modification through evidence-based practices Provide convincing arguments to secure funding when grant-writing
3. Tutorial Breakdown The Five W’s + H Data at the National and State Levels: Using CDC Data and Statistics Monitoring Programs Case study- WIC and Breastfeeding
4. Learning Objectives At the end of this module you will be able to: Identify strategies to critically determine what type of data you need by utilizing the 5W (and H) method for finding data Navigate and understand how to access two main sources of health statistics information from the CDC: Breastfeeding Report Card (summary statistics) and PRAMS (interactive surveillance system) Search for resources to help stay informed of developments and events related to your field of interest related to working with women and children
5. Supported Competencies Acquisition of the knowledge and skill set in this web tutorial will develop competencies in: Critical Thinking: Determining what type of data and data sources will benefit the individual Database Navigation: Feeling comfortable utilizing the CDC website and other data websites Using Monitoring Systems : Understanding how to use monitoring systems such as PRAMS
6. Who Who are you interested in? Gender Age Race Socioeconomic Status (SES) Geography
7. What What Health Indicator are you Interested in? Breastfeeding! Breastfeeding immediately after delivery After 4 months? After 6 months? Other Health Indicators Pregnancy rates STD rates Pneumonia Ect. Ect. Ect.
8. Where At what level are we interested in? National State Local/Community level Using national statistics to support your state and local statistics
9. When During what time period are you interested in investigating? This year? This month? The past decade? Are you interested in conducting a comparison? Has your health indicator improved this year as compared to last year?
10. Why Why do you want this data? What do you hope to achieve? Use for clinical work Grant-writing Public education Submission to financial backers
11. How The following slides will go step by step how to find and understand data. The Breastfeeding Report Card and the Pregnancy Risk Assessment Monitoring System (PRAMS) were chosen and tools to find data at the national and state levels. Both are funded by the CDC and are continuously updated
12. CDC- Breastfeeding Example While data and statistics can of course be found on a variety of health indicators related to various disease this tutorial will focus on those strictly related to breastfeeding The Center for Disease Control (CDC) is your best bet for finding up to date data and statistics on breastfeeding www.cdc.gov In the A-Z index: Choose B Choose Breastfeeding from the Alphabetical list of topics Under topics choose Data and Statistics Summarized Information Search for particular data/statistics through surveillance databases
13. Data and Statistics Benefits to using data from the CDC The data given matches what you are looking for You need quick and easy-to-understand facts You want to use ready-made graphs or charts
14. Data and Statistics (2) Some things to consider with summary data before using it: Who is the data looking at? Only certain races? Only one gender? What is the data looking at? Is it your question? Slightly different? Where was the data collected? Only in one geographic region? Population-based? When was the data collected? A lot of data is collected periodically. You can make inferences from data collected several years ago if that is all that available to you just make sure you state that. How was the data collected? Was it a valid method? Does it make sense to you? Why was the data collected? If it was collected by the CDC you can trust that it is an objective source. Some sources may have ulterior motives and can present data in certain ways to satisfy their objectives and funders
15. Data and Statistics (3)Findmore information on each survey at cdc.gov Breastfeeding Report Card Provides state-by-state data Measures types of support in key community settings Provides the most current data on the breastfeeding goals outlined in Healthy People 2010. U.S. National Immunization Survey (NIS) Infant Feeding Practices Survey II Maternity Care Practices Survey HealthStyles Survey
16. Data and Statistics (4) National Health and Nutrition Examination Survey (NHANES) National Survey of Family Growth (NSFG) National Birth Certificate Data The Pregnancy Nutrition Surveillance System (PNSS) The Pediatric Nutrition Surveillance System (PedNSS) The most recent national PedNSS annual reports and a Web-based training module with user-friendly "How-To" information for PedNSS and PNSS are available online
17. Interactive Surveillance System Pregnancy Risk Assessment Monitoring System (PRAMS) Surveys in selected states provide representative data on the incidence and duration of breastfeeding. Most recent data is 2007, some 2008
18. State and City Public Health Offices Each state and city have offices of public health (OPH) Each OPH has a website with data and statistics Remember! Not all statistics are always posted Contact you OPH at the state or city level via email or phone call to discuss how to get the most up-to-date statistics available Your community health department may have data you are interested in, each community is different
19. Case Study National WIC Breastfeeding Promotion Plan: Loving Support Campaign (See “The 4 P’s of Social Marketingand Breastfeeding”) Objectives: Increase the number of breastfeeding women. Increase the average duration of breastfeeding among WIC program participants. Increase the # of referrals to WIC for breastfeeding support and technical assistance. Increase acceptance/support for breastfeeding among public. Louisiana was not included in the pilot states for the program
20. Case Study Let’s say that as someone working with WIC mothers and children in Louisiana, you think that Louisiana should be included in the “Loving Support Campaign” when its expanded Use data and statistics to support your argument that Louisiana should be an included state Look at the objectives of the program and search for statistics that will reference these objectives specifically to women in Louisiana How many women in Louisiana breastfeed? For how long do most women in Louisiana who are on WIC breastfeed? How many referrals do WIC mothers in Louisiana receive for breastfeeding support and technical assistance? Is breastfeeding supported/accepted among the public in Louisiana?
21. Case Study To address these questions let’s use: Breastfeeding Report Card http://www.cdc.gov/breastfeeding/data/reportcard.htm PRAMS http://www.cdc.gov/PRAMS/CPONDER.htm
22. Breastfeeding Report Card Provides state-by-state data on breastfeeding initiation and duration Ever breastfed, breastfeeding at 6 months; breastfeeding at 12 months Exclusively breastfeeding Outcomes directly track Healthy People 2010 Breastfeeding objectives Provides state-by-state information on breastfeeding support systems Birth Facility Support Professional Support Mother to Mother Support Legislation Infrastructure
23. Data from Breastfeeding Report Card, 2010 From the Outcome Indicators: From the Process Indicators:
24. Breastfeeding Report Card, 2010(2) From the Outcome Indicators: Louisiana has lower rates in all breastfeeding categories as compared to the national rates Which indicator is most important for your purpose? The exclusive breastfeeding rate in Louisiana at 6 months is 7.8 which is lower than the national average of 11.9.
25. Breastfeeding Report Card, 2010 (3) From the Process Indicators: Summary Statement Louisiana has lower percentages in all support system availability than the national average with the exception of percent of infants under 2 days that receive formula. Which indicator is most important for your purpose? The number of Full-Time Equivalents (FTEs) devoted to breastfeeding in Louisiana is 1 as compared to the national average of nearly 97. Support your argument with further statistics from both the Outcome Indicator and Process Indicator report
26. Pregnancy Risk Assessment Monitoring System(PRAMS) Collects population-based data on maternal attitudes and practices before during and after pregnancy Surveillance Reports (1996-2002) Prevalence and Trends Database: CPONDER Users can design their own analysis by choosing from available variables Contains data from 2000-2008 54 variables by topic as the outcome variable 12 control variables to break out or stratify the requested analysis Analyses may be for a single state and year a single state and all available years all available states and a single year Use graphs to support your points
27. PRAMS (2) From the PRAMS website click Prevalence and Trend data- CPONDER system on the right hand side Choose Prevalence and Trend data- CPONDER system on the right hand side again From the pull down menu choose the state (or all states), year and topic of interest In this example lets look at the most recent data for Louisiana concerning breastfeeding State: Louisiana Year: All available Years Topic: Breastfeeding Questions related to the topic will appear if available
28. PRAMS (3) In this example lets choose “Indicator of whether the mother was still breastfeeding 8 weeks after delivery” In 2004 in Louisiana, 32.1% of women surveyed (n=1519) were breastfeeding 8 weeks after delivery. The confidence interval of 29.6-34.7 says that there is one can be 95% confident that the percentage of women breastfeeding at 8 weeks (32.1%) falls between 29.6 and 34.7.
29. PRAMS (5) USING BREAKOUT CATEGORIES In this example lets again choose “Indicator of whether the mother was still breastfeeding 8 weeks after delivery” Breakout categories appear in a drop down menu Let’s choose to break out whether the mother was on WIC during her pregnancy The results are based on the response being “yes” In Louisiana in 2004, 22.1% of women surveyed of who were breastfeeding 8 weeks after delivery (n= 502) were on a WIC. The confidence interval (CI) is (19.1-25.3).
30. Let’s draw some conclusions… and apply them to the case study! Our original purpose: Looking at breastfeeding rates among women on WIC in Louisiana to support Louisiana’s inclusion in the “Loving Support Campaign” What did we find out? Louisiana has lower breastfeeding rates in all categories than the national average and is not improving! Louisiana has worse support systems than the national average Louisiana has only 1 full-time state employee working in breastfeeding programming There is a lower percentage of women breastfeeding 8 weeks post delivery who are in WIC than those not in WIC All of these statistics address the objectives of the campaign and could be used in writing a grant to promote Louisiana’s inclusion in this campaign!
31. Using the data… This information can be used in Patient education Community-awareness Grant-writing at the community/statelevel Summary: For a complete picture use as many data sources as possible Start with CDC Use state-level office of public health Make sure your source is credible
32. Test your knowledge! Where does your state rank in exclusive breastfeeding at 6 months as compared to the other states and the national value in the most recent data available? What is the most recent data showing the percentage of births in your state that occur in a facility designated as a Baby Friendly Hospital Initiative? What is the most recent data that shows the percentage of women in your state that breastfed or used a breast pump to feed their new baby after delivery? Use your data navigation skills to find data on another health indicator in your state. What is the most recent data that shows the percentage of women in your state that had a BMI classified as “obese”, pre-pregnancy?
33. Additional Resources Data and Statistics Databases www.cdc.gov www.phpartners.org www.childstats.gov www.statehealthfacts.org http://communityhealth.hhs.gov Online Tutorials http://www.nlm.nih.gov/nichsr/usestats/index.htm http://nnlm.gov/training/healthstatistics/ http://phpartners.org/tutorial/03-hs/index.html http://www.pitt.edu/~super1/
34. Thank you! Thank you for participating in this tutorial. Your feedback is extremely important to the success of this program. Please take a few minutes to complete this short survey: http://www.surveymonkey.com/s/KLJ28ZK
Editor's Notes
So based on our case study we are interested in women and we probably a breakdown by age, race, and SES as we know that these may be factors for use and/or adherence to breastfeeding. In our example here we are interested most in breastfeeding rates in Louisiana as this was not one of the pilot states chosen as well as a fictional community. We are also interested in National breastfeeding rates to use as a comparison.
In this example we are interested in knowing more about breastfeeding. The more information the better when you are in the “finding” phase of data research. When we talk about dissemination in a future webinar we will discuss what information is useful when and to whom.
As I said earlier we are going to look at the national level just to get a general idea of some breastfeeding rates and then looking at the south, Louisiana specifically and then use a fictional example.
In this instance we want to show that Louisiana state and specifically “our community” has a need for a program such as “The Loving Support Campaign”. Therefore we want to use the statistics to create a report supporting our case. However, in general data and statistics can be used for a variety of reasons such as clinical work, grant-writing, public education and submission to financial backers
So lets use the example of the Case Study and the information o
Let’s usethe example of the “Loving Support Campaign, part of the National WIC Breastfeeding Promotion Plan. This program