Your browser doesn't support javascript.
loading
Use of Computer-Assisted Personal Interviewing and Information Management System in a Survey among HIV High-Risk Groups in India: Strengths, Weaknesses, Opportunities, and Threats Analysis.
Brahme, Radhika; Godbole, Sheela; Gangakhedkar, Raman; Sachdeva, Kuldeep Singh; Verma, Vinita; Risbud, Arun.
Affiliation
  • Brahme R; Department of Epidemiology, National AIDS Research Institute, Pune, Maharashtra, India.
  • Godbole S; Department of Health and Biomedical Science, Symbiosis International University, Pune, Maharashtra, India.
  • Gangakhedkar R; Department of Epidemiology, National AIDS Research Institute, Pune, Maharashtra, India.
  • Sachdeva KS; Department of Epidemiology, National AIDS Research Institute, Pune, Maharashtra, India.
  • Verma V; Department of Evaluation and Research, National AIDS Control Organization, New Delhi, India.
  • Risbud A; Department of Evaluation and Research, National AIDS Control Organization, New Delhi, India.
Indian J Community Med ; 43(2): 107-112, 2018.
Article in En | MEDLINE | ID: mdl-29899610
OBJECTIVES: In India, integrated biological and behavioral surveillance was carried out in 2014-2015 among high-risk key population as a part of second-generation HIV surveillance system. Computer-assisted personal interviewing and integrated information management system were used for the first time in this large national field based survey. We evaluated the strengths and weaknesses of technology use in this survey. METHODS: Mixed methods comprising of the key informant's interviews and structured data collected from field interviewers were used to do the strengths, weaknesses, opportunities, and threats analysis with defined attributes. RESULTS: Despite the challenges, the technology use in this survey was a huge success with respect to data coverage, response rates, real-time data, and acceptance by respondents. However, such techniques require more focus on the competency of human resource, training, and concurrent evaluation systems to get better data quality, time adherence, and effective use of technology. CONCLUSION: The recommendations resulted from this analysis will help for strategic management while designing such systems in field-based community surveys.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Etiology_studies / Qualitative_research / Risk_factors_studies Language: En Journal: Indian J Community Med Year: 2018 Document type: Article Affiliation country: India Country of publication: India

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Etiology_studies / Qualitative_research / Risk_factors_studies Language: En Journal: Indian J Community Med Year: 2018 Document type: Article Affiliation country: India Country of publication: India