HF Adherence measures Researchers uses beads in a glass (same color and number as ARVs prescribed), and asks users to estimate by pouring into a second.

Slides:



Advertisements
Similar presentations
Sub module 2 Use of standardized records and registers.
Advertisements

What data set is the collection of all outcomes, responses, measurements, or counts that are of interest?
Measuring Adherence Jonathan Shuter, M.D. Treatment Adherence Network Meeting 2/27/01.
Correlation between Non-Insulin Diabetic Patients and A1C Hemoglobin Levels Problem Statement Is there a significant correlation between diabetic diet.
Promoting Adherence in Children. What are the challenges faced by children that interfere with ART adherence? B ased on your knowledge and experience,
Jobs and Unemployment CHAPTER 7. LABOR MARKET INDICATORS So far we have studied measures of macroeconomic performance. 1)The value of output measured.
Quantitative Data Analysis Definitions Examples of a data set Creating a data set Displaying and presenting data – frequency distributions Grouping and.
Determinants of Patient Satisfaction in Home Health HCAI 5220 & HCAI 5221 Silvana Vela Fall 2012 Trinity University.
Gantt Charts and Scheduling Project Management. Placing tasks in sequential order… The first step, now that you have defined your objectives and tasks.
Evaluating Cost Gavin Steel, Jude Nwokike, Mohan P. Joshi & Mupela Ntengu Development and Implementation of a Multi-Method Medication Adherence Assessment.
-IAA 1 Exit Interviews Adherence Assessment Survey Exit 1.
Section 1.1, Slide 1 Copyright © 2014, 2010, 2007 Pearson Education, Inc. Section 14.1, Slide 1 14 Descriptive Statistics What a Data Set Tells Us.
1 Assessing and Improving ARV Adherence HAIVN Harvard Medical School AIDS Initiative in Vietnam.
Consumer behavior studies1 CONSUMER BEHAVIOR STUDIES STATISTICAL ISSUES Ralph B. D’Agostino, Sr. Boston University Harvard Clinical Research Institute.
On hunger, transport costs and waiting time: challenges to ARV adherence in three African countries Richard Laing, PSM/PAR Robert Ogenyi, Botswana.
Strategies for Improving Medication Adherence. Assess Patient Understanding and Behavior  What we need to know and understand is: How do patients feel.
State of the Art Measuring and understanding adherence to ART in Resource poor settings.
 Nutrition assessment is a comprehensive evaluation carried out by a registered dietitian for defining nutrition status using -medical, social, nutritional,
Statistics: Analyzing 2 Categorical Variables MIDDLE SCHOOL LEVEL  Session #1  Presented by: Dr. Del Ferster.
Dr. Fowler AFM Unit 8-1 Organizing & Visualizing Data Organize data in a frequency table. Visualizing data in a bar chart, and stem and leaf display.
 Some variables are inherently categorical, for example:  Sex  Race  Occupation  Other categorical variables are created by grouping values of a.
4.05 Part III Forecasting sales for a marketing plan. SEM2.
Introduction Results Hayley Schultz and Kathleen Nybroten, Ph.D.  Psychology and Sociology  University of Wisconsin-Eau Claire Hayley Schultz and Kathleen.
Choosing the Correct Analysis. Class #2, First Activity Analyzed first and last names –# of letters in first name –letter E in first name –length, in.
Time to take your medicine! A patient is prescribed a 250 mg dose of an antibiotic to be taken every 8 hours for 3 days. The drug is both excreted and.
1 Adherence Measures and Prediction of Clinical Outcomes in the China Adherence for Life (AFL) Cohort March 18, 2008 Lora Sabin Center for International.
Section 1.1, Slide 1 Copyright © 2014, 2010, 2007 Pearson Education, Inc. Section 14.1, Slide 1 14 Descriptive Statistics What a Data Set Tells Us.
Organizing and Visualizing Data © 2010 Pearson Education, Inc. All rights reserved.Section 15.1, Slide
Employment. What you need to know The Labour Force The number of people aged 16 or over who either have a job (employed) or are actively looking for.
Jacqueline Dunbar-Jacob, PhD, RN, FAAN Dean, School of Nursing University of Pittsburgh School of Nursing Center for Research in Chronic Disorders.
Scientific Method Identify a Problem Formulate a Hypothesis Determine a Plan of Action Collect Information/Data Analyze Information/Data Interpret Findings.
Learning objectives Review HIV treatment goals
Analyzing One-Variable Data
Week one Introduction to Statistics Chs 221 Dr. wajed Hatamleh
Warm Up Write down objective and homework in agenda
Freshman Health Initiative Survey: A Pilot Study
BIPAI Network Experience with multi-month prescribing/refills (MMP)
Lesson 11.4: Experimental Design
ARV-trial.com Switch to LPV/r + RAL KITE Study 1.
Counting, Number and Place Value (NPV)
BUS 308 MENTOR Lessons in Excellence--bus308mentor.com.
Second factor: education
Time management pie charts
Baseline Data and Predictors of Adherence in Patients on Antiretroviral Therapy in Maun General Hospital [MGH], Maun, Botswana Nwokike J.I. [B.Pharm,
Health care resource use, productivity, and costs among patients with moderate to severe plaque psoriasis in the United States  Caroline P. Schaefer,
Second factor: education
Assignment, pencil, red pen, highlighter, textbook, GP notebook, calculator Have out: U3D8 Bellwork: Solve for x. Be able to give the exact and approximate.
Characteristics of Patients who Choose to Participate in a Comprehensive Medication Review (CMR) Program: Implication for Program Structure and Processes.
So you want to measure adherence…
Organizing and Visualizing Data
Graphing.
Tuesday Maths KS4 Week 15 Key Skill – Averages 2.
What is Statistics? Skill 01.
Graphing.
More Practice Chapters 2 through 4.
Which Test Should I Use?.
Ms. Murphy’s Kindergarten Class January 14th-18th 2019
Warm-Up IN THE BOX AT THE TOP OF YOUR WORKSHEET
What is Statistics? Section 1.1.
PERSONAL DEVELOPMENT HEALTH AND PHYSICAL EDUCATION IN PRIMARY SCHOOLS
Automated Medicine Dispenser
Module 5 Part 1 Understanding Baseline Data
The 7th EAHSC Pharmacy refill counts and self-reported adherence overestimate adherence to antiretroviral treatment among people living with HIV in Kilimanjaro,
Organizing & Visualizing Data
Exhibit 2.9 Among Firms Offering Health Benefits, Percentage of Firms That Offer to Part-Time Workers, by Firm Size, 1999–2016 * Estimate is statistically.
Choosing to take risks---- Half the People Don’t Seek or Consume Care Properly Percent who say they or another family member living in their household.
Exhibit 2.10 Among Firms Offering Health Benefits, Percentage That Offer Health Benefits to Temporary Workers, by Firm Size, 1999–2015 * Estimate is statistically.
Exhibit 10.2 Percentage of Covered Workers in Partially or Completely Self-Funded Plans, by Firm Size, * Estimate is statistically different.
C2 D6 Bellwork: Solve for x. Be able to give the exact and approximate answers. 2) 3) 1) total: +1.
Exhibit 2.9 Among Firms Offering Health Benefits, Percentage That Offer Health Benefits to Part-Time Workers, by Firm Size, 1999–2015 * Estimate is statistically.
Presentation transcript:

HF Adherence measures Researchers uses beads in a glass (same color and number as ARVs prescribed), and asks users to estimate by pouring into a second class the total number pills actually consumed in the past month (researcher counts missed beads unobtrusively). Researcher probes for each drug how many times user missed a dose in past week. Health worker conducts a pill count for each ARV for past month Please note that these measures can be combined with probing on missed drugs and why etc

Composite measure For each prescribed ARV calculate Percentage beads/pills taken as estimated by user/total beads/pills prescribed for the month Percentage of pills reportedly taken/percentage pill prescribed one week Percentage pills taken as estimated by pill count/total pills prescribed in one month Composite measure is average of all percentages calculated – can be 3,6 or 9 percentages depending on number of different ARVs taken

HF measures for patient adherence One composite measure for adherence level of each patient measured in Health Facility -- analyzed as numerical variable Categorize each patient: High adherer is 90% and above, moderate adherer is 70 percent and above but less than 90%, and low adherer is below 70% - analyzed as categorical variable – correlations.

Home interview adherence Open discussion on experiences, effects, problems in taking etc with each of ARVs kept at home and used by patient with skilled and empathetic interviewer (qualitative), followed by 48 hours self-report, probing specifically for 3 dimensions, missed doses, timing and dietary practices (where relevant) for each kind of ARV that the patient uses. Diary should be interviewee friendly – using visuals for night and day.

2 day recall measures For each prescribed ARV calculate Percentage pills actually taken/total pills prescribed for past 48 hours. Percentage pills taken within two hours of prescribed time/total pills prescribed for 48 hours. Percentage of pills taken according to dietary prescription/total number of pills with dietary requirement for past 48 hours. Calculate an average for each dimension for all prescribed ARVs