health numeracy: explaining risk in numbers patients can use kirtly parker jones md
TRANSCRIPT
Health Numeracy: Explaining risk in numbers patients can use
Kirtly Parker Jones MD
Learning Objectives
• List three different numerical means of presenting risk
• Describe three graphical methods of presenting risk
• Identify at least 3 factors that influence patients’ perceptions of risk
Disclosures
• This presentation has been created in part by the Association of Reproductive Health Professionals (ARHP – to see more you can go to arhp.org and go to CORE slide set)
• I like arithmetic
Arithmetic
• Two plus Three equals?• If there was a 50% decrease in the number
of people who answered the question incorrectly, what would be the subsequent percent of people who answered the question correctly?
Weather Class…..
• If there is a 50% chance of rain today and a 50% chance of rain tomorrow…..
• What is the chance that it will rain today AND tomorrow?
• What is the chance that it will rain today OR tomorrow?
What do oncologists tell patients?
• The 5 year survival of stage 4 ovarian cancer is 12%
• Aggressive chemotherapy can increase the 5 year survival of ovarian cancer by 50%
• What is the chance if surviving stage 4 ovarian cancer for 5 years if a patient undergoes aggressive chemotherapy?
• What do you think the patient hears?
Know your numbers
Expressing Risk
Hennekens CH. Epidemiology in Medicine. 1987.
CausalityWeigh
pros and cons
Degree towhich
attributable
Risk Calculations
Grimes DA. Lancet. 2002.
• An association does not always mean exposure caused outcome
• It could be due to random chance or bias
Associations vs. Causality
Commonly Used Risk Calculations
Absolute Risk
Attributable Risk
Relative Risk
New York Academy of Medicine. 2005. Misselbrook D. Fam Practice. 2002.
The percentage of people in a group who experience a discrete event
Number of events experienced
Total exposure timeof people at risk
Absolute Risk
Of 100,000 women on third-generation OCs, 30 will develop venous thromboembolism (VTE) per year.
Absolute risk
30 per 100,000 woman-years
Mills A. Hum Reprod. 1997.Bromham D, O’Brien T. 1995.
Example of Absolute Risk
BMJ Collections. 2007.
• The difference in risk between those exposed and those not exposed
• Reflects extra risk associated with exposure
Attributable Risk
Risk in unexposed
Risk in exposed
–
=
Risk of cancerin smokers:
100 per 100,000
Attributablerisk:
90 more cancersper 100,000
Risk of cancerin nonsmokers:
10 per 100,000
Attributable Risk: Example 1
Risk from3rd-generation OCs
30 VTE per 100,000 woman-years
Risk from2nd-generation OCs
15 VTE per 100,000 woman-years
–
=Attributable Risk:
15 more VTE per 100,000 woman-years
Attributable Risk: Example 2
Frequency of the outcome in the exposed group divided by the frequency of the outcome in the unexposed group
Grimes DA. Lancet. 2002. Hennekens CH. Epidemiology in Medicine. 1987.
FrequencyExposed
FrequencyUnexposed
Relative Risk
Relative Risk > 1
Increased risk in exposed group
Relative Risk < 1
Decreased risk in exposed group
Hennekens CH. Epidemiology in Medicine. 1987.
Compared with unexposed group:
Interpreting Relative Risk
Relative Risk = 1
No increased risk in exposed group
Absolute Risk:3rd-Generation OCs
30 per 100,000 woman-years
Absolute Risk:2nd-Generation OCs
15 per 100,000 woman-years
Mills A. Hum Reprod. 1997.
=Relative Risk:
2
Relative Risk: Example 1
Relative risk = 20 10 = 2
Risk of cesarean delivery with elective induction of labor 20%
Risk of cesarean delivery with spontaneous onset of labor 10%
Relative risk with induction: 20% 10%
Grimes DA. Lancet. 2002.
more…
Relative Risk: Example 2
= 0.5
Risk of infection after cesarean delivery with prophylactic antibiotics 6%
Risk without prophylactic antibiotics: 12%
Relative risk: 6% 12%
Relative risk = 6 12 = 0.5
Grimes DA. Lancet. 2002.
more…
Relative Risk: Example 3
Ridiculous Relative Risk
Chance of getting heads is 1:2 with a normal penny
In two headed penny, the chance is 2:2
Relative risk is 2
But…..you are always going to get head
Relative risk isn’t useful without absolute risk
Know how to communicate numbers
Communicating About Risk
Try different ways to explain numerical data:
Gigerenzer G, Edwards A. BMJ. 2003.
more…
“Three of every 10 women develop nausea.”
“You have a 30% chance of having nausea.”
Tools: Numerical Data
Avoid shifting denominators in proportions:
Gigerenzer G, Edwards A. BMJ. 2003. Grimes DA, Snively GR. Obstet Gynecol. 1999.
more…
“Headache developed in 3 of every 1,000 women.”
“Headache developed in1 of every 333 women.”
Tools: Numerical Data (continued)
Use absolute risk:
Gigerenzer G, Edwards A. BMJ. 2003. Farley TMM, Collins J, Schlesselman JJ. Contraception. 1998. Sloman SA. Organizational Behavior and Human Decision Processes. 2003.
“Heart attacks occur in
4.2 of every 1 million OC users and 1.7 of every 1 million nonusers.”
“OC use increases the risk of heart attack 2.5-fold.”
Tools: Numerical Data (continued)
Risk level
Calman KC. BMJ. 1996. Berry DC, et al. Drug Saf. 2003.
High <1 in 100
Moderate 1–10 in 1,000
Low 1–10 in 10,000
Very low 1–10 in 100,000
Minimal 1–10 in 1 million
Tools: Descriptive Terms
But your patient needs to know the numbers, too
Annual risk of death (per 100,000)
Bennett P. In: Risk Communication and Public Health. 1999; Chang J, et al. MMWR. 2003. Harvard Center for Risk Analysis. 2006’ Schwingl PJ, et al. Am J Obstet Gynecol. 1999. Trussell J, Jordan B. Contraception. 2006.
Skydiving 100
Driving 20
Pregnancy 11.5
Riding a bicycle 0.8
Airplane crash 0.4
Using OCs* 0.06 *Nonsmoker, age 15–34
Tools: Risk Comparisons
Shulman LP. J Reprod Med. 2003. Chang J. In: Surveillance Summaries. 2003.
Inci
denc
e of
VT
E p
er
100,
000
wom
an-y
ears
0
20
40
60
Pregnancy High-dose OC
Low-dose OC
General Population
Comparative Risks of VTE
• Categories table• Numbers and categories table• Paling Perspective Scale• Paling Palette
Tools: Diagrams
More Effective* Effective† Less Effective‡
Sterilization (male & female)
Birth control pills (combined & mini pill)
Barrier methods
Implants Spermicide
Hormone shot Natural methods
Intrauterine device (hormonal)
Intrauterine device (copper)
Typical Success Rate
Adapted from Steiner MJ, et al. Obstet Gynecol. 2003.
Tools: Categories
Typical Success Rate Typical Pregnancy Rate
Lowest Expected Pregnancy Rate
More Effective*
Sterilization (male & female) 0.5–0.15% 0.5–0.1%
Implants 0.05% 0.05%
Hormone shot 3% 0.3%
Intrauterine device (hormonal) 0.2% 0.2%
Intrauterine device (copper) 0.8% 0.6%
Effective†
Birth control pills (combined & mini pill)
8% 0.3%
Less Effective‡
Barrier methods 15–16% 2–6%
Spermicide 29% 18%
Natural methods 25% 3–5%
Steiner MJ, et al. Obstet Gynecol. 2003.Trussell J, et al. Ardent Media, 2007.
Tools: Numbers and Categories
Steiner MJ. Obstet Gynecol. 2003.
Teaching Methods Affect Knowledge
14%
20%
15%
29%
27%
37%
Pill vs.Condom
HormoneShot vs. Pill
Categories Numbers & categories (WHO) Numbers FDA
Tools: Paling Perspective Scale
INCREASED RISKRisk of death from vaccination
Risk of smallpox
Death from smallpoxif not vaccinated post-exposure
Death fromsmallpoxif vaccinated post-exposure
1 in 2 million
1 in 100 million (or less)
1 in 1.7 billion
1 in 100 billion
Paling J. BMJ. 2003.
Tools: Paling Palette1,000 Women
Paling J. BMJ. 2003.http://www.riskcomm.com/palettes.php
Absolute Risk of Breast Cancer in the General Population
• Each 50-year-old woman has approximately a 2.8% chance of developing breast cancer by age 60 years
• This translates to an absolute risk of 2.8 per 100 women
All Women Aged 50 Years in the General Population—Risk for Breast Cancer by Age 60 Years
All Women Aged 50 Years in the General Population—Risk for Breast Cancer by Age 60 Years
In 100 women, 2.8 are at riskIn 100 women, 2.8 are at riskAmerican Cancer Society, Surveillance Research, 2001. Breast Cancer Facts and Figures 2001–2002. Available at: http//www.cancer.org/downloads/STT/BrCaFF2001.pdf.
Absolute Risk of Breast Cancer After 5 Years of HT
• WHI results indicate an HR for breast cancer of 1.26 after 5 years of HT use (a 26% increase in risk)1
• This translates into an absolute risk of 3.5 per 100 users
Risk of Breast Cancer by Age 60 Years After 5 Years of HT Use (Assuming a 26% Increase in Risk)
Risk of Breast Cancer by Age 60 Years After 5 Years of HT Use (Assuming a 26% Increase in Risk)
1Writing Group for the Women’s Health Initiative Investigators. JAMA. 2002;288:321-33.1Writing Group for the Women’s Health Initiative Investigators. JAMA. 2002;288:321-33.
3.5 of 100 women who are HRT users are at risk (<1 additional woman over baseline risk)
3.5 of 100 women who are HRT users are at risk (<1 additional woman over baseline risk)
Least Effective
Most Effective≤1
pregnancy per 100
women in1 year
Adapted from World Health Organization, 2006.
~30pregnancies
per 100women in
1 year
Implants, female sterilization, vasectomy, IUD
Injectables, lactational amenorrhea method, pills, patch, vaginal ring
Male condom, female condom, diaphragm, sponge, fertility awareness–based methods
Withdrawal, spermicides
WHO Decision Aid on Contraceptive Effectiveness
• Given only effectiveness category information, women overestimated pregnancy risk
• When later shown percentage tables, majority reported rate accurately
• Authors recommend category tools with general range of risk shown within each category
Steiner MJ. Obstet Gynecol. 2003.
Communicating Contraceptive Effectiveness
Farley TMM, Collins J, Schlesselman JJ. Contraception 1998.
10
22
123
Smoker OC User
6
22
7
Smoker OC User
BP Checked
3
Deaths per million woman-years among women age 30–34
Cardiovascular Adverse Events:Screening for Risk Factors
Venous thromboembolismIshemic strokeHemorrhagic strokeMyocardial infarction
Medical student attitudes toward the doctor–patient relationship
Medical EducationVolume 36, Issue 6, pages 568-574, 31 MAY 2002 DOI: 10.1046/j.1365-2923.2002.01233.xhttp://onlinelibrary.wiley.com/doi/10.1046/j.1365-2923.2002.01233.x/full#f1
Attitudes re: patient centered care through medical school
First Third Fourth0
10
20
30
40
50
60
70
80
90
100
TotalMalefemale
Overall correct response rate as a function of numeracy and graphical format.
Hamstra D A et al. Med Decis Making 2014;35:27-36
• Understand risk and how to communicate it• Ensure a trusting environment conducive
to conversation• Put risks in context• Remember cultural, literacy, and
developmental issues • Remember that discussing risk may make it
salient
Pro Choice Public Education Project. 2004.
more…
Guidance
• When providing information about risk, discuss risk reduction
• Remember to present absolute risk • Use different forms of numerical data to
explain risk• Be aware of framing effects• Use risk comparisons with care• Have multiple, complementary tools available
Pro Choice Public Education Project. 2004.
Guidance (continued)
Know Yourself and Your Patient
O’Connor A, Legare F, Stacey D. BMJ. 2003.
Clarify situation
Provide information
Clarify patient’s values
Screen for implementation problems
Decision Aid for Risk Communication
• A misperception of risks may unnecessarily limit choices
• Risk perception is affected by a number of factors
• Clinicians should consider relevant factors and expert guidance about risk communication
• Several tools are available to aid risk communication
What to ask: Patient needs & concerns
What to consider: Relevant factors
What to use: Tools
What to do: Provide guidance
Communicating Risk: How-To’s
“How important is it to avoid pregnancy right now?”
“Do you want (or need) your use of contraception to be private?”
“Do you have concerns about a particular contraceptive?”
“What side effects are you willing to accept?”
“Are you comfortable with methods that require insertion in the vagina?”
Patient Needs & Concerns
“…Decisions about risk are not technical, but value decisions.”
Baker B. In: Risk Communication and Public Health. 1999.
Risk & Health Decisions
Mammography numbers
• For every 2,000 women age 50 to 70 who are screened for 10 years, one woman will be saved from dying of breast cancer,
• 10 will have their lives disrupted unnecessarily by overtreatment.
Nordic Cochrane Center Collaborative, 2006
Mammography Numbers
• repeated screening starting at age 50 saves about 1.8 (overall range, 0.9–2.7) lives over 15 years for every 1000 women screened.
Keen JD. BMC Medical Informatics and Decision Making 2009
Grimes DA. In: Oral Contraceptives and Breast Cancer. 1989.
Widespread dispersion of reproductive
health information
Misperception of
contraceptive risks
+ –Media Influence
Perception & Interpretation of Risk
Individual Risk Presentation
Characteristics of the Risk
People worry more about risks that:• The individual cannot control• Are involuntary• Are associated with particular dread• Are novel or unfamiliar• Result from man-made sources• Are more easily recalled
Harvard Center for Risk Statistics. 2003. Bennett P. In: Risk Communication and Public Health. 1999.
Characteristics of the Risk
Burkman R. Am J Obstet Gynecol. 2004.
Weighing the Risks & Benefits
• Understand risk and how to communicate it• Establish a trusting environment conducive
to conversation• Put risks in context• Remember cultural, literacy, social, and
developmental issues • Remember that discussing risk may make it
salient
Lipkus IM. Med Decis Making. 2007. Pro Choice Public Education Project. 2004.
more…
Guidance for Risk Communication
• When providing information about risk, discuss risk reduction
• Remember to present absolute risk • Use numeric, verbal, and visual formats to
convey health risk• Be aware of framing effects• Use risk comparisons with care• Have multiple, complementary tools available
Lipkus IM. Med Decis Making. 2007. Pro Choice Public Education Project. 2004.
Guidance for Risk Communication (cont’d)
Using numbers your patient can use
• Know your numbers• Know how to present your numbers• Know your patient