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Mixed-methods analysis of select issues reported in the 2016 World Health Organization verbal autopsy questionnaire.
Nichols, Erin; Pettrone, Kristen; Vickers, Brent; Gebrehiwet, Hermon; Surek-Clark, Clarissa; Leitao, Jordana; Amouzou, Agbessi; Blau, Dianna M; Bradshaw, Debbie; Abdelilah, El Marnissi; Groenewald, Pamela; Munkombwe, Brian; Mwango, Chomba; Notzon, F Sam; Biko Odhiambo, Steve; Scanlon, Paul.
Afiliação
  • Nichols E; Division of Vital Statistics, National Center for Health Statistics, Centers for Disease Control and Prevent, Hyattsville, Maryland, United States of America.
  • Pettrone K; Division of Vital Statistics, National Center for Health Statistics, Centers for Disease Control and Prevent, Hyattsville, Maryland, United States of America.
  • Vickers B; Epidemic Intelligence Service, Centers for Disease Control and Prevent, Atlanta, Georgia, United States of America.
  • Gebrehiwet H; Collaborating Center for Questionnaire Design and Evaluation Research, Division of Research and Methodology, National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, Maryland, United States of America.
  • Surek-Clark C; School of Nursing and Health Sciences, Public Health Program, Capella University, Minneapolis, Minnesota, United States of America.
  • Leitao J; Departments of English and Sociology, College of Arts and Sciences, The Ohio State University, Columbus, Ohio, United States of America.
  • Amouzou A; World Health Organization, Geneva, Switzerland.
  • Blau DM; Institute for International Programs, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
  • Bradshaw D; Child Health and Mortality Prevention Surveillance (CHAMPS), Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
  • Abdelilah EM; Burden of Disease Research Unit, South African Medical Research Council, Cape Town, Western Cape, South Africa.
  • Groenewald P; Planning and Studies Division, Directorate of Planning and Financial Resources, Ministry of Health, Rabat, Morocco.
  • Munkombwe B; Burden of Disease Research Unit, South African Medical Research Council, Cape Town, Western Cape, South Africa.
  • Mwango C; Division of Vital Statistics, National Center for Health Statistics, Centers for Disease Control and Prevent, Hyattsville, Maryland, United States of America.
  • Notzon FS; Bloomberg Data for Health Initiative, Lusaka, Zambia.
  • Biko Odhiambo S; CDC Foundation, Atlanta, Georgia, United States of America.
  • Scanlon P; Kenya Medical Research Institute, Centre for Global Health Research, Health and Demographic Surveillance System, Kisumu, Kenya.
PLoS One ; 17(10): e0274304, 2022.
Article em En | MEDLINE | ID: mdl-36206230
BACKGROUND: Use of a standardized verbal autopsy (VA) questionnaire, such as the World Health Organization (WHO) instrument, can improve the consistency and reliability of the data it collects. Systematically revising a questionnaire, however, requires evidence about the performance of its questions. The purpose of this investigation was to use a mixed methods approach to evaluate the performance of questions related to 14 previously reported issues in the 2016 version of the WHO questionnaire, where there were concerns of potential confusion, redundancy, or inability of the respondent to answer the question. The results from this mixed methods analysis are discussed across common themes that may have contributed to the underperformance of questions and have been compiled to inform decisions around the revision of the current VA instrument. METHODS: Quantitative analysis of 19,150 VAs for neonates, children, and adults from five project teams implementing VAs predominately in Sub-Saharan Africa included frequency distributions and cross-tabulations to evaluate response patterns among related questions. The association of respondent characteristics and response patterns was evaluated using prevalence ratios. Qualitative analysis included results from cognitive interviewing, an approach that provides a detailed understanding of the meanings and processes that respondents use to answer interview questions. Cognitive interviews were conducted among 149 participants in Morocco and Zambia. Findings from the qualitative and quantitative analyses were triangulated to identify common themes. RESULTS: Four broad themes contributing to the underperformance or redundancy within the instrument were identified: question sequence, overlap within the question series, questions outside the frame of reference of the respondent, and questions needing clarification. The series of questions associated with one of the 14 identified issues (the series of questions on injuries) related to question sequence; seven (tobacco use, sores, breast swelling, abdominal problem, vomiting, vaccination, and baby size) demonstrated similar response patterns among questions within each series capturing overlapping information. Respondent characteristics, including relationship to the deceased and whether or not the respondent lived with the deceased, were associated with differing frequencies of non-substantive responses in three question series (female health related issues, tobacco use, and baby size). An inconsistent understanding of related constructs was observed between questions related to sores/ulcers, birth weight/baby size, and diagnosis of dementia/presence of mental confusion. An incorrect association of the intended construct with that which was interpreted by the respondent was observed in the medical diagnosis question series. CONCLUSIONS: In this mixed methods analysis, we identified series of questions which could be shortened through elimination of redundancy, series of questions requiring clarification due to unclear constructs, and the impact of respondent characteristics on the quality of responses. These changes can lead to a better understanding of the question constructs by the respondents, increase the acceptance of the tool, and improve the overall accuracy of the VA instrument.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Adult / Child / Female / Humans / Newborn País/Região como assunto: Africa Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Adult / Child / Female / Humans / Newborn País/Região como assunto: Africa Idioma: En Ano de publicação: 2022 Tipo de documento: Article