Using social network analysis to examine the decision-making process on new vaccine introduction in Nigeria

被引:35
作者
Wonodi, C. B. [1 ]
Privor-Dumm, L. [1 ]
Aina, M. [2 ]
Pate, A. M. [3 ]
Reis, R. [1 ]
Gadhoke, P. [1 ]
Levine, O. S. [1 ]
机构
[1] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Int Hlth, Int Vaccine Access Ctr, Baltimore, MD 21205 USA
[2] Solina Hlth, Abuja, Nigeria
[3] Natl Primary Hlth Care Dev Agcy Nigeria, Abuja, Nigeria
关键词
Policy analysis; vaccine policy; social network analysis; new vaccine introduction; developing country; Hib vaccine; pneumococcal conjugate vaccine; rotavirus vaccine; STAKEHOLDER ANALYSIS; DEVELOPING-COUNTRIES; POLICY NETWORKS; UNITED-STATES; HEALTH; PERFORMANCE; PREVALENCE; ACCELERATE; EXPERIENCE;
D O I
10.1093/heapol/czs037
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
The decision-making process to introduce new vaccines into national immunization programmes is often complex, involving many stakeholders who provide technical information, mobilize finance, implement programmes and garner political support. Stakeholders may have different levels of interest, knowledge and motivations to introduce new vaccines. Lack of consensus on the priority, public health value or feasibility of adding a new vaccine can delay policy decisions. Efforts to support country-level decision-making have largely focused on establishing global policies and equipping policy makers with the information to support decision-making on new vaccine introduction (NVI). Less attention has been given to understanding the interactions of policy actors and how the distribution of influence affects the policy process and decision-making. Social network analysis (SNA) is a social science technique concerned with explaining social phenomena using the structural and relational features of the network of actors involved. This approach can be used to identify how information is exchanged and who is included or excluded from the process. For this SNA of vaccine decision-making in Nigeria, we interviewed federal and state-level government officials, officers of bilateral and multilateral partner organizations, and other stakeholders such as health providers and the media. Using data culled from those interviews, we performed an SNA in order to map formal and informal relationships and the distribution of influence among vaccine decision-makers, as well as to explore linkages and pathways to stakeholders who can influence critical decisions in the policy process. Our findings indicate a relatively robust engagement of key stakeholders in Nigeria. We hypothesized that economic stakeholders and implementers would be important to ensure sustainable financing and strengthen programme implementation, but some economic and implementation stakeholders did not appear centrally on the map; this may suggest a need to strengthen the decision-making processes by engaging these stakeholders more centrally and earlier.
引用
收藏
页码:II27 / II38
页数:12
相关论文
共 50 条
[21]   Social network group decision-making for probabilistic linguistic information based on GRA [J].
Li, Peng ;
Xu, Zhiwei ;
Liu, Jian ;
Wei, Cuiping .
COMPUTERS & INDUSTRIAL ENGINEERING, 2023, 175
[22]   Network effects on organizational decision-making: Blended social mechanisms and IPO withdrawal [J].
Owen-Smith, Jason ;
Cotton-Nessler, Natalie C. ;
Buhr, Helena .
SOCIAL NETWORKS, 2015, 41 :1-17
[23]   Using the precaution adoption process model to understand decision-making about the COVID-19 booster vaccine in England [J].
Meyer, Carly ;
Goffe, Louis ;
Antonopoulou, Vivi ;
Graham, Fiona ;
Tang, Mei Yee ;
Lecouturier, Jan ;
Grimani, Aikaterini ;
Chadwick, Paul ;
Sniehotta, Falko F. .
VACCINE, 2023, 41 (15) :2466-2475
[24]   An Experiment: An International Comparison of the Decision-Making Process Using a Business Game [J].
Iwai, Chiaki ;
Morita, Mitsuru .
SIMULATION AND GAMING IN THE NETWORK SOCIETY, 2016, 9 :215-231
[25]   Understanding material and supplier networks in the construction of disaster-relief shelters: the feasibility of using social network analysis as a decision-making tool [J].
Copping, Alex ;
Kuchai, Noorullah ;
Hattam, Laura ;
Paszkiewicz, Natalia ;
Albadra, Dima ;
Shepherd, Paul ;
Burat, Esra Sahin ;
Coley, David .
JOURNAL OF HUMANITARIAN LOGISTICS AND SUPPLY CHAIN MANAGEMENT, 2022, 12 (01) :78-105
[26]   Landscape of vaccine access and health technology assessment role in decision-making process in ASEAN countries [J].
Taychakhoonavudh, Suthira ;
Chumchujan, Woralak ;
Hutubessy, Raymond ;
Chaiyakunapruk, Nathorn .
HUMAN VACCINES & IMMUNOTHERAPEUTICS, 2020, 16 (07) :1728-1737
[27]   Development and testing of study tools and methods to examine ethnic bias and clinical decision-making among medical students in New Zealand: The Bias and Decision-Making in Medicine (BDMM) study [J].
Harris, Ricci ;
Cormack, Donna ;
Curtis, Elana ;
Jones, Rhys ;
Stanley, James ;
Lacey, Cameron .
BMC MEDICAL EDUCATION, 2016, 16
[28]   Large Group Decision-Making Method Based on Social Network Analysis: Integrating Evaluation Information and Trust Relationships [J].
Xiangyu Zhong ;
Xuanhua Xu ;
Mark Goh ;
Bin Pan .
Cognitive Computation, 2024, 16 :86-106
[29]   Large Group Decision-Making Method Based on Social Network Analysis: Integrating Evaluation Information and Trust Relationships [J].
Zhong, Xiangyu ;
Xu, Xuanhua ;
Goh, Mark ;
Pan, Bin .
COGNITIVE COMPUTATION, 2024, 16 (01) :86-106
[30]   Using Social Network Analysis to Examine Instagram Narratives of Natural Spaces [J].
Raffel, Sara .
PROCEEDINGS OF THE 41ST INTERNATIONAL CONFERENCE ON DESIGN OF COMMUNICATION, SIGDOC 2023, 2023, :155-159