A hybrid design testing a 3-step implementation model for community scale-up of an HIV prevention intervention in rural Malawi: study protocol

Diana L N Jere, Chimwemwe K Banda, Lily C Kumbani, Li Liu, Linda L McCreary, Chang Gi Park, Crystal L Patil, Kathleen F Norr, Diana L N Jere, Chimwemwe K Banda, Lily C Kumbani, Li Liu, Linda L McCreary, Chang Gi Park, Crystal L Patil, Kathleen F Norr

Abstract

Background: Scaling-up evidence-based behavior change interventions can make a major contribution to meeting the UNAIDS goal of no new HIV infections by 2030. We developed an evidence-based peer group intervention for HIV prevention and testing in Malawi that is ready for wider dissemination. Our innovative approach turns over ownership of implementation to rural communities. We adapted a 3-Step Implementation Model (prepare, roll-out and sustain) for communities to use. Using a hybrid design, we simultaneously evaluate community implementation processes and program effectiveness.

Methods: Three communities in southern Malawi begin implementation in randomly-assigned order using a stepped wedge design. Our evaluation sample size of 144 adults and 144 youth per community provides sufficient power to examine primary outcomes of condom use and HIV testing. Prior to any implementation, the first participants in all three communities are recruited and complete the Wave 1 baseline survey. Waves 2-4 surveys occur after each community completes roll-out. Each community follows the model's three steps. During Prepare, the community develops a plan and trains peer group leaders. During Roll-Out, peer leaders offer the program. During Sustain, the community makes and carries out plans to continue and expand the program and ultimately obtain local funding. We evaluate degree of implementation success (Aim 1) using the community's benchmark scores (e.g, # of peer groups held). We assess implementation process and factors related to success (Aim 2) using repeated interviews and observations, benchmarks from Aim 1 and fidelity assessments. We assess effectiveness of the peer group intervention when delivered by communities (Aim 3) using multi-level regression models to analyze data from repeated surveys. Finally, we use mixed methods analyses of all data to assess feasibility, acceptability and sustainability (Aim 4).

Discussion: The project is underway, and thus far the first communities have enthusiastically begun implementation. We have had to make several modifications along the way, such as moving from rapid-tests of STIs to symptoms screening by a nurse due to problems with test reliability and availability. If successful, results will provide a replicable evidence-based model for future community implementation of this and other health interventions.

Trial registration: Clinical Trials.gov NCT02765659 Registered May 6, 2016.

Keywords: Adolescent; Adult; Community implementation; Community participation; HIV prevention; Implementation science; Malawi; Peer group intervention.

Conflict of interest statement

The University of Illinois at Chicago (Protocol #2015–0691) and the University of Malawi College of Medicine Research Committee (COMREC; Protocol P.10/15/1815) approved the protocol. Written informed consent was obtained from every participant.

Not applicable. This protocol manuscript does not include any data.

The authors declare that they have no competing interests.

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
Stepped wedge cluster randomized design with evaluations at Waves 1-4

References

    1. Joint United Nations Programme on HIV/AIDS . On the Fast-Track to end AIDS by 2030: Focus on location and population. Geneva: UNAIDS; 2030.
    1. UNAIDS. Fact Sheet 2017 Global HIV Statistics. (2018). at .
    1. Bandura A. Human agency in social cognitive theory. Am Psychol. 1989;44:1175–84.
    1. Albarracin J, Albarracin D, Durantini M. Effects of HIV-prevention interventions for samples with higher and lower percents of Latinos and Latin Americans: a meta-analysis of change in condom use and knowledge. AIDS Behav. 2008;12:521–543. doi: 10.1007/s10461-007-9209-8.
    1. Albarracin D, et al. A test of major assumptions about behavior change: a comprehensive look at the effects of passive and active HIV-prevention interventions since the beginning of the epidemic. Psychol Bull. 2005;131:856–897. doi: 10.1037/0033-2909.131.6.856.
    1. Darbes L, Crepaz N, Lyles C, Kennedy G, Rutherford G. The efficacy of behavioral interventions in reducing HIV risk behaviors and incident sexually transmitted diseases in heterosexual African Americans. AIDS. 2008;22:1177–1194. doi: 10.1097/QAD.0b013e3282ff624e.
    1. Medley A, Kennedy C, O’Reilly K, Sweat M. Effectiveness of peer education interventions for HIV prevention in developing countries: a systematic review and meta-analysis. AIDS Educ Prev. 2009;21:181–206. doi: 10.1521/aeap.2009.21.3.181.
    1. Noar S. Behavioral interventions to reduce HIV-related sexual risk behavior: review and synthesis of meta-analytic evidence. AIDS Behav. 2008;12:335–353. doi: 10.1007/s10461-007-9313-9.
    1. Vergidis P, Falagas M. Meta-analyses on behavioral interventions to reduce the risk of transmission of HIV. Infect Dis Clin N Am. 2009;23:309–314. doi: 10.1016/j.idc.2009.02.001.
    1. Kaponda CPN, et al. Outcomes of an HIV prevention peer group intervention for rural adults in Malawi. Health Educ Behav. 2011;38:159–170. doi: 10.1177/1090198110378588.
    1. Dancy BL, et al. HIV risk reduction intervention for rural adolescents in Malawi. J HIV AIDS Soc Serv. 2014;13:271–291. doi: 10.1080/15381501.2013.864173.
    1. Crittenden KS, Kaponda CPN, Jere DL, McCreary LL, Norr KF. Participation and diffusion effects of a peer-intervention for HIV prevention among adults in rural Malawi. Soc Sci Med. 2015;133:136–144. doi: 10.1016/j.socscimed.2015.03.055.
    1. Dworkin SL, Pinto RM, Hunter J, Rapkin B, Remien RH. Keeping the spirit of community partnerships alive in the scale up of HIV/AIDS prevention: critical reflections on the roll out of DEBI (diffusion of effective behavioral interventions) Am J Community Psychol. 2008;42:51–59. doi: 10.1007/s10464-008-9183-y.
    1. Wallerstein N, Duran B. Community-based participatory research contributions to intervention research: the intersection of science and practice to improve health equity. Am J Public Health. 2010;100(Suppl 1):S40–S46. doi: 10.2105/AJPH.2009.184036.
    1. Israel BA, et al. Community-based participatory research for health: from process to outcomes. 2008. pp. 47–66.
    1. Casey, M., O’ Leary, D. & Coghlan, D. Unpacking action research and implementation science: implications for nursing. J Adv Nurs (2017). 10.1111/jan.13494.
    1. Salimi Y, et al. Is community-based participatory research (CBPR) useful? A systematic review on papers in a decade. Int J Prev Med. 2012;3:386–393.
    1. Denison JA, et al. Youth engagement in developing an implementation science research agenda on adolescent HIV testing and care linkages in sub-Saharan Africa. AIDS. 2017;31:S195–S201. doi: 10.1097/QAD.0000000000001509.
    1. PHIA Project. Malawi population-based HIV impact assessment (MPHIA). (2016). at
    1. Tabak RG, Khoong EC, Chambers DA, Brownson RC. Bridging research and practice: models for dissemination and implementation research. Am J Prev Med. 2012;43:337–350. doi: 10.1016/j.amepre.2012.05.024.
    1. Bergh A, Pattinson RC. Development of a conceptual tool for the implementation of kangaroo mother care. 2003. pp. 709–714.
    1. Bergh A-M, et al. Measuring implementation progress in kangaroo mother care. Acta Paediatr. 2005;94:1102–1108. doi: 10.1080/08035250510028380.
    1. Pattinson RC, et al. Implementation of kangaroo mother care: a randomized trial of two outreach strategies. Acta Paediatr. 2005;94(7):924–927. doi: 10.1080/08035250510028399.
    1. Belizán M, Bergh A-M, Cilliers C, Pattinson RC, Voce A. Stages of change: a qualitative study on the implementation of a perinatal audit programme in South Africa. BMC Health Serv Res. 2011;11:243. doi: 10.1186/1472-6963-11-243.
    1. Curran GM, Bauer M, Mittman B, Pyne JM, Stetler C. Effectiveness-implementation hybrid designs: combining elements of clinical effectiveness and implementation research to enhance public health impact. Med Care. 2012;50:217–226. doi: 10.1097/MLR.0b013e3182408812.
    1. Hamilton AB, et al. Community-based implementation and effectiveness in a randomized trial of a risk reduction intervention for HIV-serodiscordant couples: study protocol. Implement Sci. 2014;9:79. doi: 10.1186/1748-5908-9-79.
    1. Killam WP, et al. Antiretroviral therapy in antenatal care to increase treatment initiation in HIV-infected pregnant women: a stepped-wedge evaluation. AIDS. 2010;24:85–91. doi: 10.1097/QAD.0b013e32833298be.
    1. Mdege ND, Man M-S, Taylor Nee Brown CA, Torgerson DJ. Systematic review of stepped wedge cluster randomized trials shows that design is particularly used to evaluate interventions during routine implementation. J Clin Epidemiol. 2011;64:936–948. doi: 10.1016/j.jclinepi.2010.12.003.
    1. Woertman W, et al. Stepped wedge designs could reduce the required sample size in cluster randomized trials. J Clin Epidemiol. 2013;66:752–758. doi: 10.1016/j.jclinepi.2013.01.009.
    1. Calverton . Malawi Demographic and Health Survey 2010. 2010.
    1. Pinheiro JC, Bates DM. Approximations to the log-likelihood function in the nonlinear mixed-effects model. J Comput Graph Stat. 1995;4:12–35.
    1. Landau S, Stahl D. Sample size and power calculations for medical studies by simulation when closed form expressions are not available. Stat Methods Med Res. 2013;22:324–345. doi: 10.1177/0962280212439578.
    1. Siddiqui O, Hedeker D, Flay BR, Hu FB. Intraclass correlation estimates in a school-based smoking prevention study. Outcome and mediating variables, by sex and ethnicity. Am J Epidemiol. 1996;144:425–433. doi: 10.1093/oxfordjournals.aje.a008945.
    1. Kaiser R, Woodruff B, Bilukha O, Spiegel P, Salama P. Using design effects from previous cluster surveys to guide sample size calculation in emergency settings. Disasters. 2006;30:199–211. doi: 10.1111/j.0361-3666.2006.00315.x.
    1. National Statistical Office - NSO/Malawi and ICF Macro. 2011. Malawi Demographic and Health Survey 2010. Zomba: NSO/Malawi and ICF Macro.
    1. Norr K, et al. A primary health care intervention to mobilize health workers for HIV prevention in Malawi. Prim Heal Care Res Dev. 2006;7:318–330.
    1. McCreary LL, et al. Process evaluation of HIV prevention peer groups in Malawi: a look inside the black box. Health Educ Res. 2010;25:965–978. doi: 10.1093/her/cyq049.
    1. Behling O, Law KS. Translating questionnaires and other research instruments: Problems and solutions. Thousand Oaks: Sage Publishing; 2000.
    1. Shimpuku Y, Norr K. Working with interpreters in cross-cultural qualitative research in the context of a developing country: systematic literature review. J Adv Nurs. 2012;68:1692–1706. doi: 10.1111/j.1365-2648.2012.05951.x.
    1. Sagar B, et al. Psychometric properties of Bengali version of QOLIE-10 in epileptic patients. Ann Indian Acad Neurol. 2008;11:28–32. doi: 10.4103/0972-2327.40222.
    1. Fujiwara Y, et al. Brief screening tool for mild cognitive impairment in older Japanese: validation of the Japanese version of the Montreal cognitive assessment. Geriatr Gerontol Int. 2010;10:225–232. doi: 10.1111/j.1447-0594.2010.00585.x.
    1. Hemming K, Lilford R, Girling AJ. Stepped-wedge cluster randomized controlled trials: a generic framework including parallel and multiple-level designs. Stat Med. 2014; 10.1002/sim.6325.
    1. Hemming K, Girling A. The efficiency of stepped wedge vs. cluster randomized trials: stepped wedge studies do not always require a smaller sample size. J Clin Epidemiol. 2013;66:1427–1428. doi: 10.1016/j.jclinepi.2013.07.007.
    1. Gorbach PM, et al. Effect of computer-assisted interviewing on self-reported sexual behavior data in a microbicide clinical trial. AIDS Behav. 2012;17:790–800. doi: 10.1007/s10461-012-0302-2.
    1. Abbai N, et al. Clinical evaluation of the OneStep gonorrhea RapiCard InstaTest for detection of Neisseria gonorrhoeae in symptomatic patients from KwaZulu-Natal, South, Africa. J Clin Microbiol. 2016;53:1348–1350. doi: 10.1128/JCM.03603-14.
    1. Abbai-Shiak N, Reddy T, Govender S, Ramjee G. Poor performance of the chlamydia rapid test device for the detection of asymptomatic infections in south African men: a pilot study. J Sex Transm Dis. Volume 2016, Article ID 8695146. 2016 at 10.1155/2016/8695146.
    1. Miles MB, Huberman AM, Saldana J. Qualitative Data Analysis: A Methods Sourcebook: Sage Publications, Inc.; 2014.
    1. Creswell JW, Clark VLP. Designing and Conducting Mixed Methods Research. Thousand Oaks: Sage Publications, Inc. 2011.
    1. Greene J. Mixed methods in social inquiry. San Francisco: Jossey-Bass; 2007.
    1. Ayres L, Kavanaugh K, Knafl KA. Within-Case and Across-Case Approaches to Qualitative Data Analysis. Qual Health Res. 2003;13(6): 871-83.
    1. Raudenbush S, Cheong Y. Congdon R. HLM 6: hierarchical linear and nonlinear modeling. 2004.
    1. Stake RE. The Art of Case Study Research. Thousand Oaks: SAGE Publications; 1995.

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