Showing posts with label Condoms. Show all posts
Showing posts with label Condoms. Show all posts

Wednesday, April 20, 2016

Alcohol use, risky sexual behavior, and condom possession among bar patrons

HIGHLIGHTS
  • Bar patrons' intentions to engage in unsafe sex varied by sex and BrAC.
  • Significant predictors of condom possession were gender, race, age and BrAC level.
PURPOSE:
The current study seeks to: 1) assess the relationship between alcohol consumption and intentions to engage in unprotected sex in an uncontrolled environment, and 2) to identify if covariates (race, age, sex, breath alcohol content (BrAC), intentions to engage in sex, hazardous drinking rates) are significant predictors of condom possession during time of uncontrolled alcohol consumption.

METHODS:
Data were collected from 917 bar patrons to assess alcohol use using the Alcohol Use Disorders Identification Test (AUDIT-C), BrAC levels, intentions to engage in risky sex, and condom possession. Correlational analysis and hierarchical binary logistic regression was conducted using SPSS.

RESULTS:
Correlational analyses indicated a negative relationship between AUDIT-C scores (r=-0.115, p=0.001), BrAC (r=-0.08, p=0.015), and intentions to use a condom. Over 70% of participants intended to use a condom if they engaged in sex; however, only 28.4% had a condom to use. The regression analysis indicated the predictive model (χ2=114.5, df=8, p<0.001) was statistically significant, and correctly classified 72.9% of those in possession of a condom.

CONCLUSIONS:
Alcohol consumption was associated with intentions to have unprotected sex; however, intentions to engage in protected sex and condom possession were higher for males and those with higher BrAC levels.

Purchase full article at:   http://goo.gl/gF1QL8

  • 1East Carolina University, Department of Health Education & Promotion, 3105 Carol G. Belk Building, Greenville, NC 27858, United States. Electronic address: chaneye@ecu.edu.
  • 2East Carolina University, Department of Health Education & Promotion, 3208 Carol G. Belk Building, Greenville, NC 27858, United States. Electronic address: vailsmithk@ecu.edu.
  • 3East Carolina University, Department of Health Education & Promotion, 2206 Carol G. Belk Building, Greenville, NC 27858, United States. Electronic address: martinry@ecu.edu.
  • 4East Carolina University, Department of Health Education & Promotion, 2302 Carol G. Belk Building, Greenville, NC 27858, United States. Electronic address: cremeensj@ecu.edu. 
  •  2016 Apr 6;60:32-36. doi: 10.1016/j.addbeh.2016.03.035.



Thursday, April 7, 2016

Retrospective Analysis of Reproductive Health Indicators in the United Nations High Commissioner for Refugees Post-Emergency Camps 2007–2013

Background
The United Nations Refugee Agency’s Health Information System issues analytical reports on the current camp conditions and trends for priority reproductive health issues. The goal was to assess the status of reproductive health by analyzing seven indicators and comparing them to standards and host country estimates.

Methods
Data on seven indicators were extracted from the database during a seven-year period (2007 through 2013). A standardized country inclusion criterion was created based on the year of country implementation and the percentage of missing reports per camp and year. The unit of analysis was monthly camp reports by year within a country. To account for the lack of independence of monthly camp reports, the variance was computed using Taylor Series Linearization methods in SAS.

Results
Ten of the 23 eligible countries met the inclusion criterion. The mean camp maternal and neonatal mortality rates, except for two country years, were lower than the host country estimates for all countries and years. There was a significant increase in the percent of births attended by a skilled birth attendant (p < 0.0001), and 8 of 10 countries did not meet the standard of 100 % for all reporting years. The percent of births performed by Caesarian section (p < 0.001), were below the recommended minimum standard for nearly half of the countries every year. There was a significant increase in the percent of women screened for syphilis across years (p < 0.0001) and the percent of women who received post HIV exposure prophylaxis (p < 0.0001) and 10 % reached the standard for all reporting years, respectively.

Conclusion
Comprehensive, consistent and comparable statistics on reproductive health provides an opportunity to assess progress towards indicator standards. Despite some improvements over time, this analysis confirms that most countries did not meet standards and that there were differences in reproductive health indicators between countries and across years. Consequently, the HIS periodic monitoring of key reproductive health indicators at the camp level should continue. Data should be used to improve intervention strategies.

Below:  Proportion of women screened for syphilis annually by country. UNCHR target is 100 percent



Below:  Rate of condom distribution* in the population by year. *Figure depicts percentage (monthly rate*100)



Below:  Proportion of rape survivors who received post-exposure prophylaxis (PEP) within 72 h of an incident occurring. UNHCR target is 100 percent



Full article at:  http://goo.gl/iwPEIk

Rollins School of Public Health Grace Crum Rollins Building, 1518 Clifton Road, Atlanta, GA 30322 USA
Emergency Response and Recovery Branch, Division of Global Health Protection, Center for Global Health, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30333 USA
United Nations High Commissioner for Refugees, Case Postale 2500 CH-1211, Genève 2, Dépôt Switzerland




Monday, April 4, 2016

The S'Khokho 'bushcan' initiative: Kick a bush and condoms fall out

BACKGROUND:
People living in rural areas have limited access to condoms owing to distance, cost and time involved in travelling to public health facilities, around which most condom distribution efforts are centralised.

OBJECTIVE:
In an effort to increase access to condoms in these areas, we explored the feasibility and efficacy of condom distribution by placing 'condocans' on trees along informal footpaths used by residents.

METHODS:
From October 2012, steel condocans, typically seen in clinic settings, were erected on trees along pathways in bushy areas with high levels of foot traffic at several rural locations in the Umgungundlovu district of KwaZulu-Natal Province, South Africa (SA). Because of their location, the condocans were referred to as 'bushcans'. Condom uptake was closely monitored, and the bushcans were restocked when necessary.

RESULTS:
Following the introduction of the bushcans, male condom distribution increased by 237% from October 2012 to December 2012. Condom distribution in these areas increased on average by 187% from October 2012 to October 2015, with more than 408 000 condoms distributed over the 3-year period using the bushcans alone. Discussions with residents revealed that they were pleased about the increased access to condoms via the bushcans, and they recommended other areas for potential implementation of this initiative.

CONCLUSIONS:
The bushcan initiative highlighted the fact that condoms are not as easily accessible to all South Africans as is often thought. By providing access to condoms in a discreet and convenient manner, the bushcans have the potential to increase access to condoms in other rural and periurban areas in SA where communities face similar barriers to access.



Full PDF article at:  http://goo.gl/VoyzKx

By:  Pienaar J1.
  • 1S'Khokho Community Health, KwaZulu-Natal, South Africa. jpienaar@skhokho.org. 
  •  2016 Mar 9;106(4):372-3. doi: 10.7196/SAMJ.2016.v106i4.10146.



Monday, March 14, 2016

Beyond Condoms: Risk Reduction Strategies among Gay, Bisexual & Other Men Who Have Sex with Men Receiving Rapid HIV Testing in Montreal, Canada

Gay, bisexual, and other men who have sex with men (MSM) have adapted their sexual practices over the course of the HIV/AIDS epidemic based on available data and knowledge about HIV. This study sought to identify and compare patterns in condom use among gay, bisexual, and other MSM who were tested for HIV at a community-based testing site in Montreal, Canada. 

Results showed that while study participants use condoms to a certain extent with HIV-positive partners and partners of unknown HIV status, they also make use of various other strategies such as adjusting to a partner's presumed or known HIV status and viral load, avoiding certain types of partners, taking PEP, and getting tested for HIV. 

These findings suggest that MSM who use condoms less systematically are not necessarily taking fewer precautions but may instead be combining or replacing condom use with other approaches to risk reduction.

Full PDF article at:   http://goo.gl/HuCkMf

  • 1Department of Sexology, Université du Québec à Montréal, Case postale 8888, succursale Centre-ville, Montreal, QC, H3C 3P8, Canada. otis.joanne@uqam.ca.
  • 2CIHR Canadian HIV Trials Network, Vancouver, Canada. otis.joanne@uqam.ca.
  • 3Department of Sexology, Université du Québec à Montréal, Case postale 8888, succursale Centre-ville, Montreal, QC, H3C 3P8, Canada.
  • 4CIHR Canadian HIV Trials Network, Vancouver, Canada.
  • 5COCQ-SIDA, Montreal, QC, Canada.
  • 6Direction de santé publique du CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Montreal, QC, Canada.
  • 7Faculty of Medicine, McGill University, Montreal, QC, Canada.
  • 8RÉZO, Montreal, QC, Canada.
  • 9Applied Human Sciences, Concordia University, Montreal, QC, Canada.
  • 10Laboratoire de Biologie Moléculaire, Centre hospitalier de l'université de Montréal, Montreal, QC, Canada. 
  •  2016 Mar 9



Thursday, December 24, 2015

HIV Knowledge and Risky Sexual Behavior among Men in Rwanda

Introduction: 
New infections of Human Immunodeficiency Virus (HIV) remain a big problem in many countries. Different interventions have been implemented to improve the general knowledge of HIV, with the hypothesis that increasing HIV knowledge will reduce risky sexual behavior (RSB). However, HIV knowledge may not necessarily reduce RSB. This study explores HIV knowledge and its effect on RSB.

Methods: 
The study used data from the 2005 and 2010 Rwanda Demographic and Health Surveys to analyze the association between HIV risk factors and two types of RSB (having two or more partners in the past 12 months; and among those with two or more partners, not using a condom at last sex) and the association between HIV knowledge and those RSB. Multivariate logistic regression was used to determine predictors of RSB.

Results: 
Among 2,773 men in 2005 and 3,772 men in 2010, 5% and 7% respectively reported having two or more sexual partners. Among them, 93% in 2005 and 74% in 2010 did not use a condom at the last sex. Between 2005 and 2010, knowledge of the protective effect of having just one uninfected faithful partner, and basic knowledge of HIV decreased. Knowledge of the protective effect of using condoms increased from 90% to 94%. However, HIV knowledge was not associated with either type of RSB.

Conclusion: 
In setting up policies and strategies related to HIV prevention, policymakers should consider that focusing on HIV knowledge is not sufficient in itself.

Below: Factors model for predicting risky sexual behavior among men



Below:  Percentage of men who had two types of risky sexual behavior



Full article at:   http://goo.gl/jw0E4X

By:   Etienne Rugigana1, Francine Birungi1, Manassé Nzayirambaho1,&
1School of Public Health, College of Medicine and Health Sciences, University of Rwanda
Manassé Nzayirambaho, School of Public Health, College of Medicine and Health Sciences, University of Rwanda
 


Monday, December 21, 2015

Conflict & Expectancies Interact to Predict Sexual Behavior Under the Influence among Gay & Bisexual Men

As the mechanisms of the associations between substance use and risky sex remain unclear, this study investigates the interactive roles of conflicts about casual sex and condom use and expectancies of the sexual effects of substances in those associations among gay men. 

Conflict interacted with expectancies to predict sexual behavior under the influence; low casual sex conflict coupled with high expectancies predicted the highest number of casual partners, and high condom use conflict and high expectancies predicted the highest number of unprotected sex acts. 

Results have implications for intervention efforts that aim to improve sexual decision-making and reduce sexual expectancies.

...Each kind of conflict interacted uniquely with expectancies to predict sexual behavior under the influence. Contrary to our hypothesis, men who were low in casual sex conflict and high in expectancies reported the highest number of casual partners under the influence. For conflict about condom use, however, men who were both high on condom use conflict and high in expectancies tended to be in the highest risk group, which was consistent with our hypothesis. Practically, it seems that conflict about casual sex may lead men to avoid casual sex when they are under the influence of drugs or alcohol. However, men who were conflicted about unprotected sex may still engage in casual sex but be more likely to succumb to the influence of substances (and/or their expectations of substances’ effects) to ultimately engage in risk behavior. In short, men who were high in conflict about condom use seemed to be especially sensitive to the effect of expectancies. Though a causal mechanism cannot be determined from cross-sectional data, these results suggest that there may be a causal mechanism in the association between substance use and sexual risk behavior, though other psychosexual and contextual factors may moderate this association. These findings are consistent with research indicating that self-regulation is important in balancing the effects of sexual sensation seeking on unprotected sex but not in the association between sensation seeking and the number of casual sex partners ()...

Below:  (a) Casual sex conflict × expectancies and (b) unsafe sex conflict × expectancies



Full article at:  http://goo.gl/6ubw4X

1Center for HIV/AIDS Educational Studies and Training (CHEST), New York, NY, USA
2Department of Psychology, Hunter College of the City University of New York (CUNY), New York, NY, USA
Corresponding author: Sarit Golub, Department of Psychology, Hunter College, The City University of New York (CUNY), 695 Park Avenue, New York, NY 10065, USA. Email: ude.ynuc.retnuh@bulog.tiras
  


The Role of Relationship Types on Condom Use among Urban Men with Concurrent Partners in Ghana & Tanzania

Multiple concurrent partnerships are hypothesized to be important drivers of HIV transmission. Despite the demonstrated importance of relationship type (i.e., wife, girlfriend, casual partner, sex worker) on condom use, research on concurrency has not examined how different combinations of relationship types might affect condom use. 

We address this gap, using survey data from a sample of men from Ghana (GH: n = 807) and Tanzania (TZ: n = 800) who have at least three sexual partners in the past three months. We found that approximately two-thirds of men's reported relationships were classified as a girlfriend. 

Men were more likely to use a condom with a girlfriend if their other partner was a wife compared to if their other partner was a sex worker (GH: OR 3.10, 95% CI, 1.40, 6.86; TZ: OR 2.34, 95% CI 1.35, 4.06). 

These findings underscore the importance of considering relationship type when designing HIV prevention strategies in these settings.

Purchase full article at:   http://goo.gl/B3Qenq

  • 1 FHI 360 , Durham , NC , USA. 


Economics of Mass Media Health Campaigns with Health-Related Product Distribution: A Community Guide Systematic Review

Context
The objective of this systematic review was to determine the costs, benefits, and overall economic value of communication campaigns that included mass media and distribution of specified health-related products at reduced price or free of charge.

Evidence Acquisition
Economic evaluation studies from a literature search from January 1980–December 2009 were screened and abstracted following systematic economic review methods developed by The Community Guide. Data were analyzed in 2011.

Evidence Synthesis
The economic evidence was grouped and assessed by type of product distributed and health risk addressed. A total of 15 evaluation studies were included in the economic review, involving campaigns promoting the use of child car seats or booster seats, pedometers, condoms, recreational safety helmets, and nicotine replacement therapy (NRT).

Conclusion
Economic merits of the intervention could not be determined for health communication campaigns associated with use of recreational helmets, child car seats, and pedometers, primarily because available economic information and analyses were incomplete. There is some evidence that campaigns with free condom distribution to promote safer sex practices were cost-effective among high-risk populations and the cost per quit achieved in campaigns promoting tobacco cessation with NRT products may translate to a cost per quality-adjusted life year (QALY) less than $50,000. Many interventions were publicly funded trials or programs, and the failure to properly evaluate their economic cost and benefit is a serious gap in the science and practice of public health.

Table 2

Details of included studies
Study and Year
Location
Population
Design
Type of economic
analysis
Intervention
components
Length of intervention
Volunteers and in-kind
contributions
EffectivenessIntervention
cost and
components
Economic
benefits
considered
Summary
economic outcome
Child safety seat use
St Louis 200819
Oakland County, MI

Area Pop: 197,846
Low-income
community pop: Not
reported
Hispanic community
pop: 11,355

Pre-Post with
Comparison

Funded amount
TV, radio, print, small
media, community
mobilization,
child seats, small group
education

15 months

Used volunteers
No difference for low-
income community

Hispanic community:
Before - 9.7%
After - 14.9%
(Control: Before-
18.2%, After-14.8%)
358 free seats
distributed
$53,209 grant to
each of two
communities

No details about
number of
vouchers
redeemed
NoneNone
Pedometer distribution
Brown 20069
Eakin 200711
Rockhampton,
Australia

Pop: 60,000 (40,000
adults)

Pre-Post with
Comparison

Funded amount and
partial intervention
cost
TV, radio, print, small
media, pedometers,
phone support, website,
small group education,
improved municipal
signage and footpaths,
formative research

2 years

Volunteers and in-kind
contributions
No significant effectGrant plus
in-kind
contributions:
$530,700

Includes paid
advertising and
event marketing:
$17,400, with
additional
$43,500
in-kind
NoneNone
Condom distribution
Alstead 19996
Seattle, WA

Pop size not reported
15-17-year-olds in
three communities
within Seattle

Pre-Post

Partial intervention
cost
Radio, small media,
community mobilization,
condoms,
small group education,
formative research

7 months

Volunteers used
No significant
difference in condom
use at last intercourse
between those
exposed and
unexposed to
campaign
$276,617 for
formative
research, media
and placement,
professional
advertising and
vending services
plus $15,000 for
condoms

None

None
Kahn 200113
Intervention: Eugene,
OR
Control: Santa
Barbara, CA

Target gay men aged
18-27 years (approx
1,100 in area)

Pre-Post with
Comparison
Modeled cost-
effectiveness
(Print, small media,
community mobilization,
small group education,
formative research,
condoms)

8 months

Modeled 1, 5, 20 years

Volunteers used
27% reduction in risk
sex behavior
(measured as
reduction in
unprotected anal sex)
Assumed reduction in
risk translates directly
to same percent
reduction in HIV
incidence. Authors
provide rationale for
assumption based in
literature.
$113,641 or $676
per person
(For personnel,
computers and
supplies,
publicity and
communications,
condoms, travel,
workspace)
Health care
averted based
on lifetime
medical care
cost for
treating HIV
infections
using
estimates
from
literature
Societal net
savings=
intervention cost
minus averted
medical costs:
1 year: $265K
5 years: $875K
20 years: $1,714K
Kennedy 200014
Sacramento, CA


About 6,000–10,000
sexually active
adolescents

Pre-Post with series
of surveys

Funded amount
Radio, small media,
community mobilization,
phone support, small
peer-led group education,
condoms

1 year
OR of condom use
with main partner at
last intercourse: 1.26

OR of condom
carrying: 1.27
Funding:
$335,358
(~$42 per target
person)

No component
details provided

None

None
Rebchook 200616
Multiple sites, U.S.

Young gay men

Cross-section of 26
community-based
organizations (CBOs)

Program budgets
Print, small media,
community mobilization,
small group education,
formative research

NA – data collected
during 2002–2005
NA26 CBOs
provided data

Annual operating
budget:
>$171K: 19%;
$79,800-$171K:
19%; $22,800-
$79,800: 5%;
≤$22,800: 23%;
Don’t know: 23%

Avg: $112,570;
Median: $80,370;
Range: $7,980–
$394,349
NANA
Recreational helmets distribution
Bergman 19908
Seattle, WA

Elementary school
children and parents
(N=56,179)

Pre-Post with
Comparison

Product discount
information
TV, radio, print, small
media, community
mobilization, helmets,
phone support

3 years

Volunteers used
At 16 months:
Intervention (Seattle):
– 5% to 16%;
Control (Portland): 1%
to 3%;
Difference: 9%
Only intervention
cost was $5K
contribution to
small media.
Usual price of
helmets $40–$60.

Round 1: $19.95
helmets with
coupons (5,155
of 109,450
coupons
redeemed)

Round 2: $25
helmet sales
increasing from
1986-1.5K; 1987-
5K; 1988-22K;
Partial 1989-30K
NoneNone
Levy 200715
Denver, CO

Pop. size not reported
Skiers and
snowboarders in area

Pre-Post with
Comparison

Product discount
information
TV (newscast), print,
small media, community
mobilization, helmets,
formative
research

4 ski seasons starting
1998-1999

Volunteers used
Helmet acceptance
among renters:
1998-99:13.8%
2001-2002: 33.5%
For control stores,
corresponding
percentages were
1.38% and
4.48%

Observations of
helmet days/rental
days:
98-99: 2,150/15,567
99-00:55,581/179,705
00-01: 44,351/132,219
01-02: 75,037/224,008

Observed helmet use
on slopes by skiers:
98-99: 7.7% to
01-02: 20.3%
Usual helmet
rental cost: $3.74
to $12.46
provided free to
renters of
package.
Based on helmet
days from effect
size and lower
estimate for
rental cost, 4-year
outlay was
$662,425 with
annual average of
$165,606
NoneNone
Rouzier 199517
Grand Junction, CO

8,600 elementary
school children and
parents

Pre-Post

Product discount
information
Radio (news), print, small
media, community
mobilization, helmets,
small group education

2 years

Volunteers used
Observed helmet use
over 3 years:
1992: 5.6%
1993: 12.5%
1994: 30%
Phase 1: Helmets
purchased for
18.36-$26.01.
1,080 sold for
$7.65; 1,080 for
$22.95; and 240
for $26.01

Phase 2: 4,000
sold for $19.87
NoneNone
Smith 199118
Oakland County, MI

3,100 middle and
junior high students
and parents from six
schools

Pre-Post

Funded amount and
partial intervention
cost
TV, small media,
community mobilization,
phone support, small
group education,
formative research

5 months
Self-reported helmet
ownership increased
from 5% to 18.5%.
From pre to post,
parent-reported helmet
use 50% of time
increased ~2% to
~4% for low-intensity
group and ~2% to
~11% for high-
intensity group
Grant $358,355
fully financed
intervention.
200 helmets
given away in
low-intensity
group at cost of
$14681.28
63 helmets given
away in high-
intensity group
for cost of
$4624.80
NoneNone
Wood 198821
Victoria, Australia

Statewide population

Pre-Post

Partial intervention
cost
TV, radio, print, small
media, reduced price,
formative research

1 year

Volunteers used
Metro Melbourne:
Observed helmeted:
Primary school
students: 4.6% in 1983
to 38.6% in 1985

Secondary school
students: 1.6% in 1983
to 14.0% in 1985

Adults: 26.1% in 1983
to 42% in 1985

20% reduction in
bicycle-related motor
vehicle crash head
injury in Victoria in
1982-1983 combined,
compared to 1984
Partial cost
provided as cost
of TV/radio
campaign was
$294,286;
total cost of
rebates for
helmets of
$745,200
(calculated by
reviewers)
NoneNone
Nicotine replacement therapy (NRT) distribution
Bauer 20067
Western NY

All callers to quitline

Pre-Post with
Comparison

Cost per additional
quitline caller
Print, small media,
community mobilization,
phone support, NRT,
supplies

3-4 weeks

3 Treated Arms:
Arm 1: Newspaper and
magazine ad with NRT
Arm 2: Newspaper ad
Arm 3: Newspaper ad
with cigarette look-alike
Arm 1:
Incremental calls –
4724
Quit (7-day
abstinence): 22% for
those redeeming NRT
versus 12% pre-NRT,
implying OR=1.77

Arm 2: Incremental
calls – 14

Arm 3: Not reported


Treated quits: 20%
Controls: 24%
Arm1: $58,487
(For newspaper
and magazine ad
and NRT)


Arm 2: $3,810
for newspaper ad

Arm 3: Not
reported
(For newspaper
ad and plastic
cigarette at $1.71
each)
NoneCost per incremental
call
Arm 1: $12.54.
Arm 2: $272.46
Arm 3: $93.48
Cummings 2006a10
(linked to Miller
200522 and
Cummings 2006b23)
4 regions of New
York
Region I: Buffalo
area, n=1,099
Region II: 8 counties,
n=1,334
Region III: 15
counties, n=2,323
Region IV: NYC,
n=35,334

All callers to quitline

Pre-Post with Treated
Comparison

Cost per additional
quit
Radio, print, small media,
NRT, phone support

4 regions with varying
durations of free NRT
and type of media
Region I: 2 weeks with
earned media
Region II: 2 months with
earned media and paid
radio
Region III: 4 weeks with
earned media and print
ads
Region IV: 6 weeks with
earned media
Daily call volume by
region
Region: Before/After
I: 312/63=5.0
II: 393/79=4.97
III: 931/60=15.5
IV: 7,213/552=13.1

Region: Percent quits
(risk ratio)
Pre-NRT: 12% (1.0)
I: 27% (2.9)
II: 21% (2.0)
III: 24% (2.4)
IV: 33% (3.8)
Intervention cost
(per enrollee) by
region:

I: $52,856 ($48)
II: $43,823 ($33)
III: $110,382
($48)
IV: $3.08 Mil
($87)
NoneCost per quit due to
NRT by region:

I: $312(n=169)
II: $349(n=125)
III: $396(n=279)
IV: $396(n=7770)
Fellows 200712
State of Oregon

Pop. size not reported
All callers to quitline

Pre-Post

Cost per LYS
TV, radio, NRT, phone
support, counseling

3 months
Calls to quitline Jan-
June (monthly avg):
Pre-Patch: 3,214 (136)
Patch Period: 6,823
(1,137);
Difference: 3,609
(602)

Quits defined as 30-
day abstinence at 6
months:
Pre-Patch: 8.2%
Patch:15.7%
Note: 2 months
of paid ads
assumed for post-
patch period for
cost-effectiveness
analysis.

Pre vs patch
period
Total cost:
$224,5897 vs
$256,5552
Media cost:
$1,579,056 vs
$483,789
NRT+counseling
cost: $666,841 vs
$2,081,763
Quits
converted to
LYS based
on age-
specific
estimates
from
literature
Pre vs. patch period
Callers: 6,428 vs
13646
Quits (%): 527 (8.2)
vs 2,142 (15.7)
LYS: 1,246 vs 4,502
Cost/quit: $4,261 vs
$1,197
Incremental
cost/quit: NA vs
$198
Incremental
cost/LYS: NA vs
$98
(Bounds of $25 to
$402 per LYS based
on sensitivity
analysis on quit rate,
intervention cost,
and discount rate)
Tinkelman 200720
State of Ohio

All callers to quitline

Pre-Post with
Comparison

Partial intervention
cost
NRT, phone support,
formative research

Multimillion $ media
campaign but no details
about channels.

NRT became available in
July 2005; 4-week supply
plus another 4 weeks if
continuing in program.
NRT promoted through
media Sept 2005–April
2006 (7 months).
Call volume per day:
increase from 78 per
day pre-NRT to 188
post-NRT

Quit (7-day
abstinence) 10.3% pre
NRT and 14.9% post
NRT, measured at 6-
month follow-up. Post
NRT quit rate 11.2%
for Counseling Only
and 20.2% for
Counseling + NRT.
Pre-NRT (Jul
2004-Apri 2005)
media costs
$4,620,000;
Post-NRT (Sept
2005–Apr 2006)
$3,180,000.
No cost of NRTs
provided.
Reviewers
assumed
difference went
to finance free
NRT.
NoneNone
Avg, average; K, thousand (000); LYS, life-years saved; NRT, nicotine replacement therapy

Full article at:   http://goo.gl/KEZeVX

By:   Verughese Jacob, PhD, MPH, Sajal K. Chattopadhyay, PhD, Randy W. Elder, PhD, MEd, Maren N. Robinson, MPH,Kristin A. Tansil, MSW, Robin E. Soler, PhD, Magdala P. Labre, PhD, Shawna L. Mercer, MSc, PhD, and Community Preventive Services Task Force
Community Guide Branch, Division of Epidemiology, Analysis, and Library Services (Jacob, Chattopadhyay, Elder, Robinson, Tansil, Soler, Labre, Mercer), CDC, Atlanta, Georgia.
Address correspondence and reprint requests to: Verughese Jacob, Community Guide Branch, Centers for Disease Control and Prevention, 1600 Clifton Road, Mailstop E69, Atlanta, GA 30333. vog.cdc@0rih Phone: 404-498-6884 FAX: 404-498-0989