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TheTeenPregnancyPreventionProgram.pdf

The Teen Pregnancy Prevention Program (2010-2015): Synthesis of Impact Findings

The US Department of Health and Human Services (HHS) Office of Adolescent Health (OAH) Teen Pregnancy Prevention (TPP) Program is a national, tiered, evidence-based program that funds diverse orga- nizations nationwide working to prevent adolescent pregnancy. The OAHTPPPrograminvestsalarger share of its grant funds in the implementation of evidence-based programs—those programs proven through rigorous evaluation to reduce adolescent pregnancy and risky behavior associated with ad- olescent pregnancy (tier 1). These diverse programs include sex edu- cation, youth development, absti- nence education, clinic-based programs,andprogramsspecifically designed for vulnerable pop- ulations, including parenting ado- lescents and youths in juvenile detention (Table 1). The OAH TPP Program also invests a smaller portionofitsgrantfundsinresearch and demonstration projects to de- velop and test new models and innovative strategies to address gaps in what is known about how to prevent adolescent pregnancy (tier 2).

FIRST FIVE-YEAR COHORT

The first five-year cohort of the OAH TPP Program began in 2010 as one of six new federal evidence-based initiatives. Be- ginning in 2010, OAH provided $100 million annually to 75 organizations to replicate evidence-based TPP programs (tier 1) and to 27 organizations to

develop and evaluate new and innovative approaches to prevent adolescent pregnancy (tier 2). The tier 1 grantees implemented one or more programs from a list of 28 models identified by the HHS Pregnancy Prevention Evidence Review (from here on referred to as the HHS Evidence Review) through an independent, systematic, and comprehensive review of the literature to reduce adolescent pregnancy, births, sex- ually transmitted infections (STIs), and associated risk behaviors through rigorous evaluation. The research quality standards used to identify these 28 programs became the criteria for what constituted an evidence-based TPP program and setthestandards forresearch quality for future TPP evaluations. The tier 2 grantees focused on de- veloping programs or approaches to address gaps in the existing evidence base, with the goal that programs found to be effective would feed into the menu of evidence-based TPP programs and become eligible for replication in futurecohortsoftheTPPProgram.

Across the TPP Program, OAH funded a total of 41 pro- gram evaluations, including 19 evaluations of evidence-based programs and 22 evaluations of new or innovative approaches (Figure 1). The evaluations assessed the effectiveness of each program in at least one of the following areas: reducing ado- lescent pregnancy and births, delaying sexual initiation, im- proving contraceptive use, and reducing STIs (Table A, available as a supplement to the online version of this article at

http://www.ajph.org, has de- scriptions of each evaluation). The evaluations represent a mix of independent grantee-led evaluations conducted through cooperative agreements with OAH and OAH-led evaluations conducted through contracts with research firms. Findings from 21 of these evaluations are featured in this AJPH themed supplement issue. The remaining evaluation findings are contained in reports held in a collection at the National Library of Medicine, available through a link on the OAHWeb site (http://www.hhs. gov/ash/oah/oah-initiatives/ evaluation/grantee-led-evaluation/ grantees-2010-2014.html).

REQUIREMENTS FOR EVALUATION STUDIES

All projects were required to engage in a phased-in imple- mentation period lasting up to one year to allow time for thor- ough needs assessments and partner development. Imple- mentations were required to maintain fidelity to the program model and be of high quality as rated by an independent ob- server, high levels of youth re- tention and engagement were expected, and programs had to be medically accurate and age

appropriate. A standard set of performance measurement data related to fidelity, dosage, reach and retention, partnerships, training, and dissemination were collected and reported to OAH every six months and reviewed to monitor progress of the project. Grantees had to adhere to evaluation expecta- tions, primarily meeting the standards for research quality as established by the HHS Evidence Review. Furthermore, tier 2 pro- grams had to be packaged and implementationreadybytheendof the five-year grant period. All evaluations were required to collect three time points of data, including a baseline prior to program imple- mentation as well as short- and long-term follow-ups, and evalua- tions had to collect at least one behavioral outcome measure from the HHS Evidence Review.

SUPPORT AND TECHNICAL ASSISTANCE

OAH provided a strong system ofsupport to all evaluation grants in the TPP Program. OAH project officersareassignedtograntsforthe life of the grant period, hold at least monthly structured calls with each grantee during the five-year grant, and provide as-needed support and guidance. An evaluation training and technical assistance contract provided all evaluation grantees with intensive technical assistance, support, and monitoring to ensure that the design, implementation, analyses, and reporting met the HHS Evidence Review standards

ABOUT THE AUTHORS Amy FeldmanFarb and Amy L. Margolis are withthe USDepartment of Health andHuman Services,OfficeoftheAssistantSecretaryforHealth,OfficeofAdolescentHealth,Rockville,MD.

Correspondence should be sent to Amy Feldman Farb, Senior Evaluator, Office of Adolescent Health, Department of Health and Human Services, 1101 Wootton Parkway, Suite 700, Rockville, MD, 20852 (e-mail: [email protected]). Reprints can be ordered at http://www. ajph.org by clicking the “Reprints” link.

This editorial was accepted June 24, 2016. doi: 10.2105/AJPH.2016.303367

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for research quality (see Zief et al.1

in this issue). OAH also employs an evaluation specialist to provide guidance to OAH project officers and grantees, and to manage the evaluation training and technical assistance contract.

SYNTHESIS GOALS In this article, we present the

results of a synthesis across the 41 TPPcohort1evaluations.Thegoal of the synthesis is to address two research questions aligned with the broader goals of the TPP Program: (1) Do programs previously iden- tified as effective by the HHS Evidence Review continue to re- duce births, pregnancies, STIs, and associated sexual risk behaviors when replicated at a large scale in new settings and with new pop- ulations? and (2) Can new TPP programs or significant adaptations to evidence-based TPP programs be identified that reduce births, pregnancies, STIs, and associated sexual risk behaviors?

PROGRAM EFFECTIVENESS

The first research question was important to address in light of

a newly established evidence base. The evidence base estab- lished in 2010, in preparation for the TPP Program, was the first time a systematic review was conducted on the topic of ado- lescent pregnancy prevention. Individual studies were sepa- rately reviewed regardless of content or philosophical ap- proach against rigorous standards for research quality.2 All but one of the program models meeting the standards of research quality dem- onstrated evidence of effectiveness through a single study, often conducted by the developer of the program. The review team noted the lack of replication studies as a gap in the evidence base and called for subsequent, independent evaluations to determine the effectiveness of the programs with broader populations and in real-world conditions.

Research across many fields has demonstrated that when pro- grams are scaled up, as in effec- tiveness or replication studies, they often don’t find the same positive outcomes the original studies found.2–6 The number has been estimated to be as low as 10% to 20% of randomized controlled trials (RCTs) that result in the same significant positive impacts as found in the original study.6,7

NEW PROGRAM IDENTIFICATION

OAH’s goals with the TPP program evaluations were to build a body of evidence about where, when, and with whom individual evidence-based pro- grams are effective, and to con- tribute new programs having some evidence of effectiveness to be replicated and further evaluated in the future. The tier 1 evaluations implemented evidence-based programs as intended and with

quality, but in new settings and with new populations, therefore adding evidence about where, when, and with whom the pro- gram is effective. In addition, the research questions differed across individual evaluations. Some evaluations focused on a test of the program itself, others tested the program as a replacement of usual activities, and others tested the program in additional to usual activities. These “replication” evaluations replicated the pro- gram implementation, not the evaluation for the purposes of verifying the original study results.

METHODS To conduct this synthesis of

the TPP Program evaluations, we used (1) the final impact reports from the 41 federal and grantee program evaluations funded during cohort 1 of the TPP Program and (2) the grantee performance measure data. We summarized the data and themes that emerged from the evalua- tion reports across the projects, countedbehavioral outcomesand assessed the implementation quality of each project. A formal meta-analysis is currently being conducted, and a final report will be available in 2017.

Final Evaluation Reports All 41 cohort 1 TPP Program

final evaluation reports were in- cluded in this synthesis. All evaluation reports consisted of five key elements:

1. the research questions— primary and secondary;

2. detailed descriptions of the treatment and control conditions;

3. the evaluation design includ- ing recruitment, data

collection, outcomes, sample, baseline equivalence, and methods;

4. impact findings for both implementation and impact analyses; and

5. a brief conclusion.

OAH’s Evaluation Training and Technical Assistance con- tractor reviewed all of the final evaluation reports to ensure they adhered to the approved design and analysis plan, that de- scriptions of the treatment and control conditions were accurate, that analyses were correct and would meet the HHS Evidence Review standards, and that conclusions drawn were justified by the data and accurate. A de- tailed description of the evidence review can be found at http:// tppevidencereview.aspe.hhs. gov/Default.aspx. OAH used these reports to assess each evalu- ation’s implementation quality and outcome findings for this synthesis.

The reports consisted of

d 19 tier 1 replication evaluations (Figure 1). The 19 tier 1 rep- lication evaluations tested 10 of the evidence-based TPP pro- grams from the original list of 28 programs identified as ef- fective by the HHS Evidence Review.

d 22 tier 2 evaluations of new and innovative approaches (Figure 1). The 22 tier 2 evaluations tested the effec- tiveness of 22 different pro- grams intended to reduce adolescent pregnancies, births, STIs, and associated sexual risk behaviors that were previously untested through rigorous evaluation. The 22 evalua- tions consisted of 10 new TPP programs, seven significant adaptations to tier 1 evidence-based programs, and five existing but previously untested programs.

TABLE 1—Diversity of Programs Included in the Teen Pregnancy Prevention Evaluations: United States, 2010–2015

Type of Program Evaluations, % (No.)

Comprehensive sex

education

39 (16)

Youth development 39 (16)

Abstinence education 7 (3)

Clinic-based 7 (3)

Special populations 5 (2)

Relationship education 2 (1)

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Performance Measures OAH required all grantees to

collect performance measure data and report on them twice a year. These data provided OAH with regular updates about the performance of individual grantees and the TPP program overall, including the number and types of people served, the quality of program imple- mentation, and the dissemination of program results. Program implementation data included fidelity to the model and quality of implementation, both moni- tored and rated by an in- dependent observer using program fidelity logs and an OAH-provided rating scale for implementation quality. The data also included mean atten- dance and data on the percentage of youths who attended at least 75% of the program sessions. All performance measure data were collected for individual youths by individual program sessions, for the duration of the program

implementation, and reported to OAH at the individual level into a Web-based data repository system. These data allowed OAH to judge the quality of imple- mentation in regard to sample size, fidelity to the program model, and participant dosage.

Review and Synthesis Method

We reviewed and synthesized information from the final eval- uation reports, including the study quality assessments of OAH’s evaluation training and technical assistance contractor and the HHS evidence review, along with the performance measure data reported by the evaluation grantees. Two in- dividuals coded each evaluation into one of three categories, and disagreements were discussed and resolved between coders. Coders disagreed on the classifi- cation of three evaluations, but the disagreements were resolved

through discussion. Using “evaluation” as the unit of anal- ysis, data were used to place evaluations into one of the fol- lowing three categories:

d Implementation and eval- uation were strong; statis- tically significant positive behavioral impacts were found. Evaluations placed in this category are characterized by high fidelity and quality of implementation, and good attendance. The evaluations meet the standards for research quality of the HHS Evidence Review including low or corrected-for attrition, base- line equivalence, strong con- trast, and no confounding factors. The evaluations were appropriately powered to de- tect the intended impacts. And finally, a statistically significant positive impact was demon- strated on at least one of the Evidence Review behavioral outcomes. Studies in this

category contribute to the body of evidence in TPP by identifying where, when, and for whom programs are effective.

d Implementation and eval- uation were strong; statis- tically significant positive behavioral impacts were not found. Evaluations placed in this category have similar high quality implementation and rigorous evaluation as defined in the previous cate- gory. However, null or negative impacts were dem- onstrated on the Evidence Review behavioral outcomes. Studies in this category also contribute to the body of evidence by identifying where and with whom pro- grams were not found to be effective.

d Inconclusive; imple- mentation and evaluation experienced challenges. Evaluations placed in this category experienced chal- lenges with either program implementation, quality of the evaluation, or both. Evalua- tions in this category do not provide confidence in their findings (or lack of findings) because of these challenges and should not be interpreted as a true test of the program model. In this category, challenges with implementa- tion include poor fidelity, contrast, quality of imple- mentation, and attendance, making it almost impossible to detect an effect of the in- tervention. Evaluation chal- lenges in this category include very small sample sizes (not sufficiently powered to rea- sonably detect impacts), lack of sexual activity among the sample at follow-up, and analyses or reporting that do not meet the standards for research quality defined by the

FIGURE 1—Flow of Teen Pregnancy Prevention Program Grants and Contracts Into Evaluations

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HHS Evidence Review (did not correct for attrition, did not have baseline equivalence, matching procedure was not strong). Studies in this cate- gory do not contribute to the body of evidence other than to indicate further research is needed.

RESULTS This synthesis summarizes

findings across the TPP evalua- tions according to the two re- search questions presented previously.

Evaluation Designs All of the program evaluations

were rigorous designs; 37 (90%) were RCTs, and four were rig- orous quasi-experimental designs (QEDs; Table 2). Twenty-two evaluations used cluster-level random assignment, and 15 used individual-level random assign- ment. Tier 1 consisted of seven individual-level RCTs, 10 cluster RCTs, and 2 QEDs. Tier 2 consisted of eight individual- level RCTs, 12 cluster RCTs, and two QEDs. Forty-nine per- cent of the evaluations were conducted in a school setting (during or after school), 20% in community-based organizations, 7% in clinics, and 5% online (Table 2). Fewer than half of the evaluations provided a program to the control group, examples include health and nutrition classes, college or career training, safe driving, and mentoring. Most (53%) of the evaluations compared their program to “business as usual.” Business as usual ranged from no other sexual or reproductive health education, to fairly generous sexual or re- productive health education. Evaluations were conducted with a fairly even split of

participants in middle school (29%), high school (29%), and high school and older (24%), and a smaller proportion spanning both middle- and high-school (17%; Table 2). The majority of evaluations examined abstinence or sexual activity (73%) and condom or contraceptive use (80%). Pregnancy (22%) and frequency of sex (20%) were also common behavioral outcomes and a small number of evaluations examined STI rates and number of sexual partners (Table 2).

Program Features The TPP Program served over

500 000 youths aged 10 to 19 years between 2010 and 2015 in 39 states and the District of Co- lumbia. The majority of partici- pants were aged 14 years or younger (74%), 18% were aged 15 to 16 years, and 8% were aged 17 years or older. The partici- pants were diverse: 37% were Latino, 33% were Black, and 30% were White or other. During cohort 1, more than 6100 new facilitators were trained and more than 3800 new community partnerships were established. Ninety-five percent of all TPP sessions were implemented with high fidelity (as intended), and 92% of all sessions observed by an independent facilitator (n = 30 010) were rated as either very high or high quality. On average, youths attended 86% of all sessions, and 83% of youths attended at least 75% of all pro- gram sessions.

Additional Evidence on the Evidence-Based Models

Of the 19 replication evalua- tions, four evaluations were strong implementations and evaluations, and found statisti- cally significant positive behav- ioral impacts measured by the

HHS evidence review (see the “replicated” box in Figure 2). All met the HHS evidence review standards for a moderate or high rating for research quality, and our review of their imple- mentation data indicated a strong contrast between treatment and control groups, high fidelity, high quality, and high dosage. The four studies included one evaluation each of the Carrera Program, Reducing the Risk, Safer Sex Intervention, and Teen Outreach Program (TOP) and demonstrated reductions in sex- ual initiation, sexual intercourse in the last 90 days, sexual in- tercourse without birth control, and pregnancies.

Eight of the 19 evaluations were strong implementations and evaluations but found no positive impacts on the behavioral out- comes measured (see the “did not replicate” box in Figure 2). All eight met the HHS evidence review standards for a moderate or high rating for research quality, and our review of their imple- mentation data indicated a strong contrast between treatment and control groups, high fidelity, high quality, and high dosage. They included evaluations of the evidence-based TPP programs Becoming a Responsible Teen, Cuidate!, Seventeen Days, two evaluations of It’s Your Game, and three evaluations of TOP. Seven of these evaluations dem- onstrated null findings. One of these evaluations demonstrated a null impact at the end of pro- gram implementation and a neg- ative impact one year after the program. Further investigation indicated that the control group received another evidence-based pregnancy prevention program that the treatment group did not during the year after the program.

Seven of the 19 evaluations were coded into the inconclusive category (see the “inconclusive”

box in Figure 2). While none of these evaluations demonstrated positive behavioral impacts, all seven had challenges that resulted in an invalid test of the program. These included evaluations of Carrera, Promoting Health Among Teens! Abstinence-Only, three studies of TOP, Safer Sex Intervention and Aban Aya. These evaluations suffered from low program attendance, lack of contrast between treatment and control groups, low rates of sexual activity in the sample,

TABLE 2—Number and Proportion of Evaluations of Office of Adolescent Health Teen Pregnancy Prevention Programs: United States, 2010–2015

Characteristic Evaluations, % (No.)

Evaluation design

Randomized cluster 54 (22)

Randomized youths 37 (15)

Quasi-experimental 10 (4)

Setting

During school 39 (16)

Community-based 20 (8)

Multiple settings 20 (8)

After school 10 (4)

Clinic 7 (3)

Online 5 (2)

Target population

High school only 29 (12)

Middle school only 29 (12)

High school or older 24 (10)

Middle and high school 17 (7)

Outcomes measured

Condom/contraceptive

use

39 (33)

Abstinence/sexual

activity

36 (30)

Frequency of sex 10 (8)

Pregnancy 10 (8)

Number of sexual

partners

4 (3)

STI rates 2 (2)

Note. STI = sexually transmitted infection.

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and in one case, the analyses were not conducted in a manner consistent with the HHS Evi- dence Review criteria for re- search quality.

Demonstrations of New Programs

Out of the 22 tier 2 research and demonstration evaluations, eight were considered strong implementations, strong evalua- tions, and demonstrated statisti- cally significant positive impacts on behavioral outcomes mea- sured by the HHS evidence re- view: AIM 4 Teen Moms, Crossroads, Healthy Futures, Love Notes, Positive Prevention PLUS, Positive Potential 6th grade, an adaptation of Re- ducing the Risk, and Teen Options to Prevent Pregnancy (see the “positive impacts” box in Figure 2). These programs demonstrated impacts on sexual initiation, recent sex, sex with- out condoms or birth control,

and pregnancies. The programs in this category represent a di- verse range including relation- ship education, youth development, a program for youths at risk for dropping out of school, two programs for ado- lescent mothers, and three sex- uality education programs.

Eight of the evaluations were coded as strong implementations and strong evaluations, yet found no statistically significant positive impacts on the measured be- haviors (see the “no positive impacts” box in Figure 2). These programs representa mixof types, including general health educa- tion, peer education, sexuality education, youth development, programs designed for Haitian- American and Native American youths, and a program to address gender norms.

Six of the tier 2 program evaluations were coded as inconclusive (see the “in- conclusive” box in Figure 2). These evaluations suffered from

high attrition, samples with very low rates of sexual activity at follow-up (1.3%, 2%, 10%), weak contrasts between treatment and control groups, and in one case, the analyses were not conducted in a manner consistent with the HHS Evidence Review criteria for research quality. Un- fortunately, most of the evalua- tions identified as inconclusive from tier 2 were conducted with special populations—Alaska natives, Hawaiian youths, and tribal youths.

DISCUSSION The results from OAH’s TPP

Program evaluations have made a significant contribution to the field by helping to build a body of evidence for individual evidence-based programs and greatly expanding information about program effectiveness (see Goesling,8 in this issue, for dis- cussion of how the TPP impact

findings contribute to the evi- dence base). In a review of the evidence for the 20 years prior to the first cohort of the TPP Pro- gram, the HHS Evidence Re- view identified 31 programs as effective in reducing pregnancies, STIs, and associated sexual risk behaviors.2 In 2010 through 2015, the OAH TPP Program provided an additional 41 rigor- ous, independent studies that yielded eight new TPP programs with evidence of effectiveness, identified additional settings and populations where four evidence-based programs are ef- fective, and contributed further data on 10 previously identified evidence-based TPP programs. The number of evaluations demonstrating statistically signif- icant positive impacts on behav- ioral outcomes represents a larger proportion than found in large evaluation efforts from other fields.2–7

Most importantly, the results from these evaluations provide information about where, when, and with whom programs are effective, which is critical for communities to make informed decisions about which programs are the best fit for them. We should not expect any one pro- gram to be a magic bullet, ef- fective with anyone, anywhere. The TPP “replications” were simply defined as delivering the program model as it was origi- nally designed and evaluated. The majority of the TPP evalu- ations were conducted in new settings, with new populations and new evaluation designs compared with the original studies. The TPP Program sought to provide more in- formation about the effectiveness of these programs to aide com- munities in choosing the most effective program for their pop- ulation’s needs. As Valentine et al. first noted,9 with more

Replicated Did Not Replicate Inconclusive

Positive Impacts No Positive Impacts Inconclusive

42% 37%

Tier 1

Tier 2

36% 36% 27%

Carrera RTR

Safer Sex Intervention TOP

BART Cuidate

IYG (2 studies) Seventeen Days TOP (3 studies)

Carrera PHAT -AO

TOP (3 studies) Safer Sex Intervention

Aban Aya

Teen Options to Prevent Pregnancy 1

Positive Potential 6th Grade Positive Prevention PLUS

RTR Adaptation AIM 4 Teen Moms

1

Healthy Futures Love Notes Crossroads

Haitian American Responsible Teen

Need 2 Know Gender Matters Health Teacher

Be Yourself TOP4ME Teen PEP e-SiHLE

PHAT – Comp for Alaskan Youth

AIM for Native Youth Will Power/Won’t Power

Pono Choices Web of Life

Circle of Life

21%

Note. AIM = Adult Identity Monitoring; BART = Becoming a Responsible Teen; IYG = It’s Your Game; PEP = Prevention Education Program; PHAT-AO = Promoting Health Among Teens! Abstinence-Only; RTR = Reducing the Risk; SiHLE = Sisters, Informing, Healing, Living, Empowering; TOP = Teen Outreach Program; TOP4ME = TOP Plus Text Message Enhancement. aACF-funded PREIS Grants that are sites in the Office of Adolescent Health –funded pregnancy prevention approach evaluation.

FIGURE 2—Evaluations of Teen Pregnancy Prevention Program Models by Tier, Program Model, and Ability to Demonstrate Positive Behavioral Impacts

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high-quality replications and advanced methods for reviewing the multiple studies, prevention science will be in a better position to positively impact public health.

Failure to Replicate Does Not Mean Original Study Was Wrong

Programs that were effective at one point in time, particularly decades ago, may no longer be effective today, nor in new set- tings and populations of young people. The landscape of ado- lescence is constantly changing. An evidence base needs to be dynamic and flexible to continue to meet the needs of its target population. Furthermore, we need to continue to evaluate our target populations to ensure that programs resonate, are en- gaging, and continue to be effective.

Fit, Implementation, and Evaluation Are Essential

From our synthesis of the TPP Program evaluations, we con- clude that communities need to spend more time selecting pro- grams that are the best fit and ensuring quality implementation. It is important that decisions about which programs to im- plement be driven by commu- nity needs, organizational capacity, and intended outcomes to ensure that the programs se- lected are a good fit, thereby increasing the likelihood that the program will be effective. En- suring high-quality imple- mentation, that participants receive the full dosage of the program, and that staff have the comfort, capacity, and skills to implement the program well are also critical to enhancing pro- gram effectiveness.

Existing Models and Measures Should Be Revisited

As expected, the results of the evaluations across the TPP Pro- gram are mixed. As our synthesis demonstrates, evaluations of the same program model sometimes produced both positive and null impacts. In attempting to un- derstand these findings, moving beyond impacts on behavioral outcomes to the how and the why these programs produced findings, or did not, may require revisiting their logic models and underlying theories. In other cases, the measures or in- struments being used to evaluate the interventions may have led to mixed findings. Many of the TPP evaluations saw positive impacts on measures such as knowledge and attitudes; however, these findings did not translate into positive behavioral changes. As we try to interpret the meaning of the findings across the program, we will need a better un- derstanding of these issues. See Jenner et al.,10 in this issue, for a deeper discussion.

New Strategies to Evaluate Hard-to-Reach Populations

Five of the six tier 2 programs put in the inconclusive category were program evaluations con- ducted in special populations. Sample sizes, attendance, mo- bility, and navigating tribal or institutional review boards proved challenging for these evaluations. We believe that in- dividual studies are not enough to move the field forward with re- spect to special populations. In- stead, a group of coordinated studies that pool data for analysis and take advantage of the benefits that recent technology and methods afford us may be more efficient when working with

special populations. See Kaufman et al.,11 in this issue, for a discus- sion of the challenges of working with tribal youth populations.

Alternative Behavioral Measures for Younger Youths

Lack of sexual activity was a common issue encountered by the TPP Program evaluations. Many of the evaluations were of younger youths with low if not nonexistent rates of sexual ac- tivity, making it almost impossi- ble to detect an effect of the intervention on that outcome. While short-term follow-up surveys are beneficial for mea- suring program impacts on key mediating outcomes such as skills, attitudes, and intentions, longer-term follow-ups are often better for measuring program impacts on behaviors that can take longer to emerge.2 The behavior outcomes measured by the HHS evidence review—condom or contraceptive use—may be too far down the road for today’s ado- lescents to bedetected byan 18- to 24-month follow-up. To con- tinue to build an evidence base for younger, nonsexually active youths, we need to identify be- haviors that occur prior to the initiation of sexual activity that are predictive of sexual initiation and risk-taking behavior. See Coyle and Glassman,12 in this issue, for a discussion of strategies for mea- suring adolescent sexual activity.

Cultural Shift Needed in Reporting and Publication Biases

Null and negative findings, most importantly in replication studies, are extremely important to report and publish.9 A single research study cannot provide confidence of a program model’s effectiveness when taken to scale in different settings and

populations. A body of evidence is needed to determine when, where, and for whom programs are most effective (as well as which programs should be revisited and re-evaluated, or even walked away from). Recent articles have cautioned against ignoring null or inconsistent findings,3,13 and instead argue to consider the results of replication studies and all of the trials before them9 to determine whether the evidence has grown weaker or stronger. Positive findings from a single study does not indicate “it works,” just as null findings from a single study should not be interpreted as “it doesn’t work.” Each study is another critical piece of evidence adding to the body of evidence to be considered when making decisions about which programs to implement where. See the editorial by Cole,14

in this issue, for discussion of the importance of nonsignificant im- pact findings.

Amy Feldman Farb, PhD Amy L. Margolis, MPH,

CHES

CONTRIBUTORS Both authors contributed equally to this editorial.

REFERENCES 1. Zief S, Knab J, Cole RP. A framework for evaluation technical assistance. Am J Public Health. 2016;106(suppl 1): S24–S26.

2. Goesling B, Colman S, Trenholm C, Terzian M, Moore K. Programs to reduce teen pregnancy, sexually transmitted infections, and associated sexual risk behaviors: a systematic re- view. J Adolesc Health. 2014;54(5): 499–507.

3. Tseng V. Evidence at the crossroads pt 11: the next generation of evidence- based policy. The William T. Grant Foundation. Available at: http:// wtgrantfoundation.org/evidence- crossroads-pt-11-next-generation- evidence-based-policy. Accessed September 19, 2016.

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at: http://www.arnoldfoundation.org/ important-lessons-about-reproducibility- in-science. Accessed September 19, 2016.

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9. Valentine JC, Biglan A, Boruch RF, et al. Replication in prevention science. Prev Sci. 2011;12(2):103–117.

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pregnancy prevention programs and re- search: a time to revisit theory. Am J Public Health. 2016;106(suppl 1):S28–S29.

11. Kaufman CE, Schwinn TM, Black K, Keane EM, Big Crow CK. The promise of technology to advance rigorous evaluation of adolescent pregnancy prevention pro- grams in American Indian and Alaska Native tribal communities. Am J Public Health. 2016;106(suppl 1):S18–S20.

12. Coyle KK, Glassman JR. Exploring alternative outcome measures to improve pregnancy prevention programming in younger adolescents. Am J Public Health. 2016;106(suppl 1):S20–S22.

13. Aschwanden C. Failure Is Moving Science Forward. FiveThirtyEight. March 24, 2016. Available at: http:// fivethirtyeight.com/features/failure-is- moving-science-forward. Accessed September 19, 2016.

14. Cole RP. Comprehensive reporting of adolescent pregnancy prevention pro- grams. Am J Public Health. 2016;106 (suppl 1):S15–S16.

Comprehensive Reporting of Adolescent Pregnancy Prevention Programs

What is the takeaway of a special issue of a journal that contains a number of small, nonsignificant impacts of ado- lescent pregnancy prevention programs on behavioral out- comes? The Office of Adoles- cent Health (OAH) funded a large number of evaluations to improve the evidence in the field—and presenting the entire body of results, including the nonsignificant findings, is good science. This is a collection of high-quality evaluations, with analyses and results that have been guarded against identifying spurious findings (P-hacking) as a result of prespecified analysis plans and multiple rounds of independent review.1

Therefore, we can trust these impact results as credible esti- mates of program effectiveness, and they should become a part of the knowledge base for ado- lescent pregnancy prevention research.

Above and beyond providing funds to generate evidence of the effect of new programs and replication evidence of existing programs, OAH also funded comprehensive evaluation

technical assistance support to these grantee-led studies to in- crease the likelihood of high quality, credible impact evalua- tions that showed statistically significant effects of the programs on behavioral outcomes.2

The evaluation designs were strengthened through an initial review process, the analytic ap- proaches were prespecified dur- ing an analysis plan review, the impact analyses were conducted with multiple sensitivity and ro- bustness assessments to guard against potential error, and the final analyses and reporting un- derwent several rounds of in- dependent review. Because of this evaluation technical assis- tance effort, these studies pro- duced credible impact estimates of the effect of the programs, as implemented in each study setting.

INGREDIENTS TO A STATISTICALLY SIGNIFICANT IMPACT

Despite these investments, many of the evaluations did not show favorable, statistically

significant results on behavioral outcomes. One common in- terpretation of nonsignificant impacts for a study is that the program did not actually change participant behavior in a given setting. Another common in- terpretation is that the study did not have adequate power to state that the impact was significantly different from zero. It is impor- tant to remember that the sta- tistical significance of an impact estimate can be operationalized as whether the difference in mean outcomes across conditions is approximately twice the standard error of the difference. In general, when this ratio is larger than a threshold (for most studies, a t-statistic of 1.96 is used to define a type I error rate of a = 0.05), we state that the impact estimate is statistically significant. This means there are at least two reasons why an impact estimate might be nonsignificant:

1. The numerator (difference in mean outcomes across con- ditions) was too small. Several factors could contribute to this, including a weak contrast in experience across condi- tions because of a strong counterfactual, poor program attendance, implementation of the intervention with in- adequate fidelity, or using outcomes that are not well aligned with the theory of change of the intervention (or outcomes unlikely to change, given the young age of the sample). Of course, another explanation is that the program is not effective in changing participant outcomes.

2. Thedenominator(standarderror of the difference) was too large. Again, several factors could contribute to this, including smaller-than- expected sample sizes result- ing from difficulties during recruitment or enrollment, or low response rates.

The evaluation technical as- sistance that grantees received guided them in improving as- pects contributing to both the numerator and the denominator

ABOUT THE AUTHOR Russell P. Cole is a Senior Researcher at Mathematica Policy Research, Princeton, NJ.

Correspondence should be sent to Russell P. Cole, Senior Researcher, Mathematica Policy Research. PO Box 2393, Princeton, NJ, 08543-2393 (e-mail: [email protected]). Reprints can be ordered at http://www.ajph.org by clicking the “Reprints” link.

This editorial was accepted June 19, 2016. doi: 10.2105/AJPH.2016.303332

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Supplement 1, 2016, Vol 106, No. S1 AJPH Cole Editorial S15

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