Cash, care, prevention and adherence for adolescents: Latest evidence from southern africa L Cluver, M Orkin, M Boyes, L Sherr, F Meinck Arusha, December 2014 Collaborative research: science to assist policy Childfocused research Universities: Oxford, UCT, Wits, Curtin, UKZN National longitudinal study of adolescents 6850 adolescents, 2500 adult caregivers, 2008-2012 Longitudinal national survey • • • • • • Main study: N=6000 (age: 10-18) 3 provinces South Africa; 6 sites >30% prevalence Stratified random sampling of census EAs Every household with a child aged 10-17 Urban/rural, 1 year follow-up in 2 provinces n=3401, 97% follow-up Measures • Standardised scales, national surveys Ethics • • • • Approved by Universities of Cape Town, Oxford, KwaZulu-Natal, 6 Provincial Health & Education Departments Social & health service referrals Controlling for prior HIV risk TEEN TA LK IKHASI ELIYIMFIHLO LENGXOXO YABASHA Siyabonga ngok usisiza ng alokh u.lLemi buzo i yi m fih o ngokuphe l el e - iyof ak wa emvil aph i n i ev al iwe t haqa. Si c ela un gal i bhal i i gam lak h o k ul eli ph eph a. Uhlelo lombuzo no: .................... Sonke siyazi ukuthi ukwenza ucansi kungasho izinto eziningi. Amantombazana angalala nabafana, amantombazana namantombazane, noma abafana nabafana. Abanye babo benze ucansi ngesitho sanagasese sangemuva. Uma sithi wenze ucansi sisho okunye kwalokhu! Wake waya ocansini? 1 Wanuneminyaka emingakhi ngenkathi uqala ukuya ocansini? Bhala phansi iminyaka: ......... 2 Bangaki abantu oye nabo ocansini kulonyaka odlulile? Bhala phansi leyonombolo: .......... Uma uke waya ocansini kulonyaka odlulile, kukangakanani usebenzisa ikhondomu? ...... njalonje ...... ngaphezulu kwesigamu sesikhathi ...... isigamu sesikhathi ...... isikhathi esingaphansi kakhulu kwesigamu/hafu ...... angikaze Kulababantu kulonyaka odlulile, bhala phansi ukuthi bangaki ababe: ........ isoka lakho/intombi yakho, noma umyeni/inkosikazi? ........ umuntu ongasiye umaqondana wakho, kodwa uya naye ocansini izikhashana eziningana? ........ umuntu ohlangana naye ngalesosi khathi njengowo busuku obubodwa? ........ umuntu omkhokhele ukuze uye naye ocansini? 4 3 Sicela ubhale igama lakho lapha: 5 ........................................ Manje, ngicela ucabange igama elihlukile esingalisebenzisa masibhala ngalolucwaningo. Ungakhetha noma iliphi igama olifunayo! .................................... 6 a EMIS #: ........................... . ... Umbuzi wemibuzo: ............................. Usuku: ............... Inombolo yendawo yocwaningo: ....................................... º . ‘ GPS longitude (E): E º . ‘ ..... Cha Abantu baya ocansini ngenxa yezizathu eziningi futhi befuna ukuthola izinuzo ezinXX ingi. Ezahlukene kwezinye izikhathi, abantu banikeza lowo abaya naye ocansini izipho. Uke wanikwa lezizipho ezilandelayo ngoba uye ocansini nomunye umuntu? K ekelezela ukuthi yikuphi: Imali Inombolo kamazisi: ....................................................... GPS lattitude (S): S Uke waya ocansini udakiwe? ..... Yebo 7 Indawo obuzelwa kuyo: ................................................. . Isikole/inhlangano: .................................... Ibnga: Ingabe ukhona omunye umuntu oke waya naye ocansini obeneminyaka engaphezulu kwemihlanu ubudala kunawe ..... Yebo ..... Cha Uke waya ocansini ngoba udakwe izidakamizwa ezinjenge Tik, insangu noma yini enye? ..... Yebo ..... Cha Inombolo w Yohlelo Le mi buzo: . ........... U m f n a/I nt ombaz ane Privacy code: ................... ECT Uke wezwa nge Sandulela Ngculaza ne Ngculaza uqobo? ..... Yebo ..... Cha Bhala phansi noma yini ocabanga ukuthi umuntu angayenza ukugwema ukuthola igciwane lesandulela ngculaza, igciwane elibanga ingculaza. 9 ..................................................... ..................................................... ..................................................... ..................................................... Indawo yokuhlala ..................................................... Ukugitsheliswa emotweni/etekisini A AFRIC a lok hu. Azikh o iz Ak uk hon a uk uh lolw ing eyi zo! Ikheli: ........................................ impen dul o ezi yizo nez za abantu usi uk e ond luq ................................................. ngo Lol ucw ani o a abong Siy . ika Afr u .................................................. abasha eNingizim o. kh lwa z izo Inombolo yocingo: ........................... f ngesi kh ath i nan gos 8 Cellphone airtime s r e r a C g oun PROJ Ungaba nenkinga yini uma singaphinde sikuthinte futhi? Sicela ubhale ikheli nezinombolo zocingo ukuze siphinde sikuthinte futhi: Uke waya ocansini nomuntu ube ungathandi, bekuzwisa ubuhlungu, noma ngoba ubusaba ukuthi bazokulimaza uma ungavumanga? ..... Yebo ..... Cha ..................................................... Ukuthengela okokuphuza Izingubo SOUTH ...... Cha Uma uphendule wathi ‘Cha’ ungaligcwalisi lelipheshana lonke. Yiya ekhasini elilandelayo! TEEN TALK O SUTH AFRICA Nomayini ooyi sho izba yimih lo. aLokhu kusho ukuthi ngeke sibike ngegama lakho langempela. ..... Yebo Amamaki aphezulu esikoleni Imali yesikole Ukudla Nomayini enye 10 Uke wakhulelwa noma wakhulelisa? ..... Yebo ..... Cha 12 22 Igciwane lesandulela ngculaza liyathelelana uma abantu beya ocansini. Ucabanga ukuthi amathuba akho okuthola I HIV/AIDS angakanani? ..... anginalo ithuba nhlobonhlobo ..... ithuba elincane ..... ithuba elingahle libe phakathi nendawo 50/50 ..... ithuba elikhulu kakhulu ..... ngike ngahlolwa kulezizinyanga ezintathu ezindlulile, futhi ngiyasazi isimo sami ..... angazi ukuthi yini I HIV/AIDS 11 Unazo yini izingane? Sicela ubhale iminyaka yazo: 13 ............................................................ Predicting adolescent ART adherence & SRH use • N=700 adolescents, 3-year tracking • All 32 ART clinics (>5 adolescents) Buffalo City/Amathole Districts, Eastern Cape • Enrolled and lost-to-follow-up • Viral load, CD4, pharmacy refills, self-reported adherence • Clinic assessments for facility-level effects • + 2-year qualitative ethnography Effects of abuse, poverty & parental AIDS on female adolescent risk of transactional sex 57% Cluver, Orkin, Boyes, Meinck, Makhasi (2011). JAIDS 13% 7% 1% Healthy family AIDS-sick parent Abused & hungry AIDS-sick parent, abused, hungry Pathways to HIV-risk mean χ2(679) 640.06 AIDSorphan BollenStine p=.001 mean χ2/df 1.57 RMSEA SRMR CFI TLI .032 .044 .939 .930 Stigma .13 Education risks .12 .43 .18 .32 .08 Abuse .15 .72 Psych. distress .14 .15 .15 .24 AIDSsick parent .22 .10 HIV Risk Behaviour Poverty Cluver, Orkin, Boyes, Sherr, Nikelo, Makhasi (2013). Soc. Sci & Medicine. Analyses funded by RIATT. Unconditional cash transfers South Africa: Child grant reduces incidence & prevalence of transactional sex and age-disparate sex for girls 8 % Incidence of transactional sex (OR .49 CI .26-.93*) 7 % Incidence of age-disparate sex (OR .29 CI .13-.67**) No cash transfer 6 Child cash transfer 5 4 3 2 1 0 12-14 years 15-17 years 12-14 years Cluver, Boyes, Orkin, Pantelic, Molwena, Sherr (2013). The Lancet Global Health. 15-17 years Kenya: Summary Impacts of OVC cash transfer on adolescents (Odds Ratios) 2,4 2,2 All Females 2 1,8 1,6 1,4 1,2 1 Delayed Debut Never pregnant No depressive Hope Symptoms Scale<Median Handa, Halpern, Pettifor, Thirmurthy (2014) PLOS One. School Enrollment Cash plus care? Can CASH + CARE reduce HIV risk behavior? Incidence rates: CASH Transactional sex Age-disparate sex Sex using substances Multiple partners CARE Unprotected sex Teen pregnancy Food garden Child-focused grant Positive parenting Regular food parcels Free school meals School counsellor Teacher support % girls with incidence of 1+ HIV risk behavior: Cash plus care = halved risk 60 50 41% Cash alone: OR .63 Cash plus care: OR .55 42% Cash alone: no effect Cash plus care: OR .50 40 28% 25% 30 15% 20 17% 10 0 no support cash cash plus care Cluver, Orkin, Boyes, Sherr (2014). AIDS. no support cash cash plus care Controlling for: family HIV/AIDS, informal/formal housing, age of child, poverty levels, number of moves of home, baseline HIV risk behaviour HIV+ adolescents: ART adherence, cash and care • Indicative percentages only, n=250 • Random sampling 32 state clinics, South Africa Past week ART adherent (%) Cash plus care: OR 2.42 Past-week self-reported adherence (%) 80 75 70 65 60 55 50 45 40 35 30 no support cash: transfer/food care: positive garden/food parcel parenting/treatment buddy cash plus care Structural drivers and mechanisms Poverty & family AIDS predict adolescent HIV-risks: how? 2011 Structural deprivation 2012 HIV-risk behavior incidence Hunger Transactional sex Age-disparate sex Community violence Sex using substances Parental HIV/AIDS all p<.001 Multiple partners Unprotected sex Informal settlement Cluver, Orkin, Boyes, Sherr (2014). AIDS. Pregnancy controlling for: baseline HIV-risk, age, gender school dropout child abuse conduct problems psychological distress drug/alcohol use Structural deprivation Psychosocial problems Cluver, Orkin, Boyes, Sherr (2014). AIDS. p<.004 HIV-risk behavior incidence controlling for: baseline HIV-risk, age, gender Girls: ‘starving sex’ incidence (longitudinal, 60% of HIV-risk behavior explained) CARE CASH Psychosocial risks High vulnerability Starving Sex CLASSROOM controlling for: age, baseline HIV-risk What kinds of cash and care work best? (preliminary analyses) Combinations for HIV-prevention Males Females Careless Economic Careless Economic Cash Child Grants Medical care Class- School feeding room Free school & books Care Monitoring Teacher support Pregnancy MALES: % Probability of incidence of ’careless sex' HIVrisk behaviors (unprotected sex, sex whilst on drugs/drunk, multiple partners, casual sex) 20,0 18,0 16,0 14,0 12,0 10,0 8,0 6,0 4,0 2,0 0,0 No intervention Good monitoring Teacher support Both interventions 12,0 FEMALES: % Probability of incidence of 'Economic Sex' HIV-risks (transactional or age-disparate sex) 10,0 8,0 6,0 4,0 2,0 0,0 No intervention Child grant Free school Both interventions Operationalising care (preliminary analyses) Parenting for Lifelong Health: Sinovuyo SA • • • • • • • • Aims: Reduce child abuse, improve parenting and supervision Local NGO staff, no materials needed Free: Creative Commons WHO and UNICEF: scale-up to other countries Thula Sana (pregnancy – 6 months) Book sharing (toddlers) Sinovuyo Kids (ages 2-9) Sinovuyo Teen (ages 10-17) SUNSHI NE OF POSI TI VE ATTENTI ON DEALI NG WI TH DI FFI CULT BEHAVI OUR HOUSEHOLD RULES GI VI NG CLEAR I NSTRUCTI ONS PRAI SE AND REWARDS • • • • Group work, collaborative problem-solving Home practice, role-playing Evidence-based core principles TALKI NG ABOUT FEELI NGS BUI LDI NG LANGUAGE SKI LLS SPECI AL TI ME WI TH YOUR CHI LD HANDOUT # 1 RONDAVEL OF SUPPORT Building a Rondavel of Support Physical abuse p<.001 2,5 2 1,5 1 0,5 0 Pre Post Emotional Abuse p<.001/.002 3,5 3 2,5 2 1,5 1 0,5 0 Caregiver Teen Pre Neglect p<.001/<.004 Sexual Abuse not significant 1,2 1 0,2 0,8 0,15 0,6 Post 0,1 0,4 0,05 0,2 0 0 Pre Post Pre Post Caregiver depression p<.001 Teen depression and Suicidality p<.001 30 7 6 5 4 3 2 1 0 25 Caregiver depression 20 15 Caregiver parenting stress 10 5 Pre Teen depression Suicidal teen pre Post post Adolescent Aggressive behavior p<.002/<.02) Caregiver negative coping i.e. alcohol use 10 3 8 2 6 Caregiver 4 1 Teen 2 0 Pre Post 0 pre post Girls: odds reduction in risk incidence 0,57 0,49 cash only cash +care 0,47 0,32 0,31 0,25 0,17 0,15 0,06 multiple partners transactional sex unprotected sex pregnancy school dropout Boys: odds reduction in risk incidence 0,35 0,31 0,28 0,2 0,11 multiple partners unprotected sex school dropout criminal behavior Controlling for: age, formal/informal housing, poverty, urban/rural, household employment, child migration, caregiver gender, non-biological caregiver & outcome risk at baseline. Cash alone, care alone & cash+care entered simultaneously. Unconditional, government cash transfers reduce adolescent HIV risks Cash plus care gives greater effects Cash and care mitigate structural risk Cumulative impacts of 2+ interventions Effective in real-world sub-Saharan Africa Funders: thank you. ‘I would like to advice the government to issue grants to those countries that are suffering socially and see the difference. And see how the impact it could create in the life many of youngsters. How it can better their decision and destiny.Take it from me I am the living difference.’ Noxolo, 19 yrs.