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Program-stimulated change in
network composition and
behavior related to family
planning in Ghana Nepal

Marc Boulay​
​
Dynamics of Networks and Behavior Symposium ​
XXIV International Social Network Conference​
Portoroz, Slovenia​
May 11, 2004
Social Networks and FP

• Widely believed that social networks
  exert a strong influence on contraceptive
  behavior​
• This influence can be positive or
  negative​
  □ Favorable networks consistently
   associated with contraceptive adoption​
  □ Survey and anecdotal evidence has linked
   non-use to negative information women
   learn from peers
FP communication programs

• Often promote discussions about FP as
  one mechanism for behavior change​
• Evaluations consistently show an
  association between exposure and FP
  discussion​
• Unclear whether these
  program-stimulated discussions result in a
  network favorable to contraceptive use
Other factors that may also influence
    composition of FP discussion network


• Proximity​
  □ Likelihood of interaction​
• Ethnic Homophily​
  □ Similarity in language​
• Contraceptive use status​
  □ Information from expert sources​
  □ Confirmation/Dissonance reduction​
Research Questions

• What factors influence the selection of
  FP discussion partners within the study
  villages?​
  □ Ethnic homophily, contraceptive use ​
  □ Does program exposure influence selection,
   particularly of contraceptive users?​
• Is a positive change in network
  composition associated with contraceptive
  adoption?
Nepal Radio Communication
   Project (RCP)

• USAID-funded project to promote FP
  among couples in Nepal​
• Weekly radio drama​
  □ Residents of fictional village modeled
   interpersonal communication regarding FP​
• Broadcast between 1995-2000
Study Design

• Site: 3 villages in Dang District, Nepal​
• Sample: Nearly all CMWRA (15-49 years)
  in November 1997 & March 1999​
  □ Wave 1: n = 350 (response rate = 98.6%)​
  □ Wave 2: n = 337 (response rate = 83.0%)​
  □ Present in both surveys: n = 281 ​
• Collected sociometric data​
  □ Women living in your village with whom you
   have discussed FP during the past six months​
Description of the study
villages
Analysis plan for change in
       network composition

    • Description of change in networks​
​
    • Bivariate examination of change using
      binomial test​
​
    • Multivariate analysis using SIENA​
Change in FP discussion
networks
Odds ratios for addition of a FP
discussion partner to network




         Source: 1997 and 1999 Nepal Social Network Surveys​
         *p<0.05​
         Adjusted for age, education, parity, village of residence, and ethnic
         group​
         H-W standard errors accounting for within-village correlation
Observed and expected addition of
Tharus to network, by ethnicity of ego
Observed and expected addition of
contraceptive users to network, by
contraceptive use of ego
Observed and expected addition of
contraceptive users to network, by
program exposure of ego
SIENA Analysis

• Allowed for changing composition of
  networks​
• Assumed a constant rate function​
• Stepwise addition of variables into
  objective function​
• Final models confirmed using an
  independent run (initial parameter
  estimates = 0)
Variables in SIENA Analysis

• Network effects​
• Ethnic similarity​
  □ Dichotomous variable (Tharu, non-Tharu) ​
• Contraceptive Use in 1997​
  □ Ego use, alter use, similarity​
• Program Exposure in 1997​
  □ Ego exposure, alter exposure, ​
• Ego Exposure X Alter FP Use Interaction​
  □ Dyadic covariate (= 1 if i exposed and j using
    FP, otherwise = 0)
Final SIENA Models
Analysis plan for adoption of
       FP between 1997 and 1999

    • Analysis restricted to 170 non-users in
      1997 interviewed in both survey waves​
​
    • Huber-White standard errors used to
      account for interdependence of
      observations ​
      □ Interdependence based on shared
       membership in a weakly-connected
       component​
      □ 216 connected components identified
Percent of adopters by
presence of a contraceptive
user in discussion network




               Source: 1997 and 1999 Nepal Social Network
               Surveys
Adjusted coefficients from a
logistic regression model
predicting adoption of a FP method




         Source: 1997 and 1999 Nepal Social Network Surveys​
         N=170​
         *p<0.05​
         Adjusted for age, education, parity, village of residence, and ethnic
         group​
         H-W standard errors accounting for within-component correlation
Conclusions

• Effect of contraceptive use and program
  exposure on network change varies​
• No evidence that program exposure
  directly promotes network composition
  favorable to FP​
• Addition of a FP user to network appears
  to facilitate contraceptive use
Limitations

• Small number of networks limits ability
  to assess differences across networks​
• Underreporting of FP discussion
  partners​
• Time between measures was fairly long​
• With only 2 waves, it is still difficult to
  establish time order between addition of
  FP user to network and FP adoption
Next steps

• Rerun analyses with Ghana data when
  available​
  □ lower prevalence of FP Use​
  □ greater number of networks (9)​
• Explore role of community group
  participation on network change

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323-Boulay

  • 1. Program-stimulated change in network composition and behavior related to family planning in Ghana Nepal Marc Boulay​ ​ Dynamics of Networks and Behavior Symposium ​ XXIV International Social Network Conference​ Portoroz, Slovenia​ May 11, 2004
  • 2. Social Networks and FP • Widely believed that social networks exert a strong influence on contraceptive behavior​ • This influence can be positive or negative​ □ Favorable networks consistently associated with contraceptive adoption​ □ Survey and anecdotal evidence has linked non-use to negative information women learn from peers
  • 3. FP communication programs • Often promote discussions about FP as one mechanism for behavior change​ • Evaluations consistently show an association between exposure and FP discussion​ • Unclear whether these program-stimulated discussions result in a network favorable to contraceptive use
  • 4. Other factors that may also influence composition of FP discussion network • Proximity​ □ Likelihood of interaction​ • Ethnic Homophily​ □ Similarity in language​ • Contraceptive use status​ □ Information from expert sources​ □ Confirmation/Dissonance reduction​
  • 5. Research Questions • What factors influence the selection of FP discussion partners within the study villages?​ □ Ethnic homophily, contraceptive use ​ □ Does program exposure influence selection, particularly of contraceptive users?​ • Is a positive change in network composition associated with contraceptive adoption?
  • 6. Nepal Radio Communication Project (RCP) • USAID-funded project to promote FP among couples in Nepal​ • Weekly radio drama​ □ Residents of fictional village modeled interpersonal communication regarding FP​ • Broadcast between 1995-2000
  • 7. Study Design • Site: 3 villages in Dang District, Nepal​ • Sample: Nearly all CMWRA (15-49 years) in November 1997 & March 1999​ □ Wave 1: n = 350 (response rate = 98.6%)​ □ Wave 2: n = 337 (response rate = 83.0%)​ □ Present in both surveys: n = 281 ​ • Collected sociometric data​ □ Women living in your village with whom you have discussed FP during the past six months​
  • 8. Description of the study villages
  • 9. Analysis plan for change in network composition • Description of change in networks​ ​ • Bivariate examination of change using binomial test​ ​ • Multivariate analysis using SIENA​
  • 10. Change in FP discussion networks
  • 11. Odds ratios for addition of a FP discussion partner to network Source: 1997 and 1999 Nepal Social Network Surveys​ *p<0.05​ Adjusted for age, education, parity, village of residence, and ethnic group​ H-W standard errors accounting for within-village correlation
  • 12. Observed and expected addition of Tharus to network, by ethnicity of ego
  • 13. Observed and expected addition of contraceptive users to network, by contraceptive use of ego
  • 14. Observed and expected addition of contraceptive users to network, by program exposure of ego
  • 15. SIENA Analysis • Allowed for changing composition of networks​ • Assumed a constant rate function​ • Stepwise addition of variables into objective function​ • Final models confirmed using an independent run (initial parameter estimates = 0)
  • 16. Variables in SIENA Analysis • Network effects​ • Ethnic similarity​ □ Dichotomous variable (Tharu, non-Tharu) ​ • Contraceptive Use in 1997​ □ Ego use, alter use, similarity​ • Program Exposure in 1997​ □ Ego exposure, alter exposure, ​ • Ego Exposure X Alter FP Use Interaction​ □ Dyadic covariate (= 1 if i exposed and j using FP, otherwise = 0)
  • 18. Analysis plan for adoption of FP between 1997 and 1999 • Analysis restricted to 170 non-users in 1997 interviewed in both survey waves​ ​ • Huber-White standard errors used to account for interdependence of observations ​ □ Interdependence based on shared membership in a weakly-connected component​ □ 216 connected components identified
  • 19. Percent of adopters by presence of a contraceptive user in discussion network Source: 1997 and 1999 Nepal Social Network Surveys
  • 20. Adjusted coefficients from a logistic regression model predicting adoption of a FP method Source: 1997 and 1999 Nepal Social Network Surveys​ N=170​ *p<0.05​ Adjusted for age, education, parity, village of residence, and ethnic group​ H-W standard errors accounting for within-component correlation
  • 21. Conclusions • Effect of contraceptive use and program exposure on network change varies​ • No evidence that program exposure directly promotes network composition favorable to FP​ • Addition of a FP user to network appears to facilitate contraceptive use
  • 22. Limitations • Small number of networks limits ability to assess differences across networks​ • Underreporting of FP discussion partners​ • Time between measures was fairly long​ • With only 2 waves, it is still difficult to establish time order between addition of FP user to network and FP adoption
  • 23. Next steps • Rerun analyses with Ghana data when available​ □ lower prevalence of FP Use​ □ greater number of networks (9)​ • Explore role of community group participation on network change