Collecting valid and reliable data: fieldwork monitoring strategies in a health examination survey

Detalhes bibliográficos
Autor(a) principal: Kislaya,Irina
Data de Publicação: 2020
Outros Autores: Santos,Ana João, Lyshol,Heidi, Antunes,Liliana, Barreto,Marta, Gaio,Vânia, Gil,Ana Paula, Namorado,Sónia, Dias,Carlos Matias, Tolonen,Hanna, Nunes,Baltazar
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://scielo.pt/scielo.php?script=sci_arttext&pid=S2504-31452020000200081
Resumo: Abstract Introduction: Health surveys constitute a relevant information source to access the population’s health status. Given that survey errors can significantly influence estimates and invalidate study findings, it is crucial that the fieldwork progress is closely monitored to ensure data quality. The objective of this study was to describe the fieldwork monitoring conducted during the first Portuguese National Health Examination Survey (INSEF) regarding protocol deviations and key performance indicators (KPI). Methods: Data derived from interviewer observation and from the statistical quality control of selected KPI were used to monitor the four components of the INSEF survey (recruitment, physical examination, blood collection and health questionnaire). Survey KPI included response rate, average time distribution for procedures, distribution of the last digit in a specific measure, proportion of haemolysed blood samples and missing values. Results: Interviewer observation identified deviations from the established protocols, which were promptly corrected. During fieldwork monitoring through KPI, upon implementation of corrective measures, the participation rate increased 2.5-fold, and a 4.4-fold decrease in non-adherence to standardized survey procedures was observed in the average time distribution for blood pressure measurement. The proportion of measurements with the terminal digit of 0 or 5 decreased to 19.6 and 16.5%, respectively, after the pilot study. The proportion of haemolysed samples was at baseline level, below 2.5%. Missing data issues were minimized by promptly communicating them to the interviewer, who could recontact the participant and fill in the missing information. Discussion/Conclusion: Although the majority of the deviations from the established protocol occurred during the first weeks of the fieldwork, our results emphasize the importance of continuous monitoring of survey KPI to ensure data quality throughout the survey.
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spelling Collecting valid and reliable data: fieldwork monitoring strategies in a health examination surveyHealth informationData quality;Health examination surveyFieldwork monitoringInterviewer observationAbstract Introduction: Health surveys constitute a relevant information source to access the population’s health status. Given that survey errors can significantly influence estimates and invalidate study findings, it is crucial that the fieldwork progress is closely monitored to ensure data quality. The objective of this study was to describe the fieldwork monitoring conducted during the first Portuguese National Health Examination Survey (INSEF) regarding protocol deviations and key performance indicators (KPI). Methods: Data derived from interviewer observation and from the statistical quality control of selected KPI were used to monitor the four components of the INSEF survey (recruitment, physical examination, blood collection and health questionnaire). Survey KPI included response rate, average time distribution for procedures, distribution of the last digit in a specific measure, proportion of haemolysed blood samples and missing values. Results: Interviewer observation identified deviations from the established protocols, which were promptly corrected. During fieldwork monitoring through KPI, upon implementation of corrective measures, the participation rate increased 2.5-fold, and a 4.4-fold decrease in non-adherence to standardized survey procedures was observed in the average time distribution for blood pressure measurement. The proportion of measurements with the terminal digit of 0 or 5 decreased to 19.6 and 16.5%, respectively, after the pilot study. The proportion of haemolysed samples was at baseline level, below 2.5%. Missing data issues were minimized by promptly communicating them to the interviewer, who could recontact the participant and fill in the missing information. Discussion/Conclusion: Although the majority of the deviations from the established protocol occurred during the first weeks of the fieldwork, our results emphasize the importance of continuous monitoring of survey KPI to ensure data quality throughout the survey.Escola Nacional de Saúde Pública2020-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S2504-31452020000200081Portuguese Journal of Public Health v.38 n.2 2020reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttp://scielo.pt/scielo.php?script=sci_arttext&pid=S2504-31452020000200081Kislaya,IrinaSantos,Ana JoãoLyshol,HeidiAntunes,LilianaBarreto,MartaGaio,VâniaGil,Ana PaulaNamorado,SóniaDias,Carlos MatiasTolonen,HannaNunes,Baltazarinfo:eu-repo/semantics/openAccess2024-02-06T17:34:30Zoai:scielo:S2504-31452020000200081Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:36:27.498671Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Collecting valid and reliable data: fieldwork monitoring strategies in a health examination survey
title Collecting valid and reliable data: fieldwork monitoring strategies in a health examination survey
spellingShingle Collecting valid and reliable data: fieldwork monitoring strategies in a health examination survey
Kislaya,Irina
Health information
Data quality;Health examination survey
Fieldwork monitoring
Interviewer observation
title_short Collecting valid and reliable data: fieldwork monitoring strategies in a health examination survey
title_full Collecting valid and reliable data: fieldwork monitoring strategies in a health examination survey
title_fullStr Collecting valid and reliable data: fieldwork monitoring strategies in a health examination survey
title_full_unstemmed Collecting valid and reliable data: fieldwork monitoring strategies in a health examination survey
title_sort Collecting valid and reliable data: fieldwork monitoring strategies in a health examination survey
author Kislaya,Irina
author_facet Kislaya,Irina
Santos,Ana João
Lyshol,Heidi
Antunes,Liliana
Barreto,Marta
Gaio,Vânia
Gil,Ana Paula
Namorado,Sónia
Dias,Carlos Matias
Tolonen,Hanna
Nunes,Baltazar
author_role author
author2 Santos,Ana João
Lyshol,Heidi
Antunes,Liliana
Barreto,Marta
Gaio,Vânia
Gil,Ana Paula
Namorado,Sónia
Dias,Carlos Matias
Tolonen,Hanna
Nunes,Baltazar
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Kislaya,Irina
Santos,Ana João
Lyshol,Heidi
Antunes,Liliana
Barreto,Marta
Gaio,Vânia
Gil,Ana Paula
Namorado,Sónia
Dias,Carlos Matias
Tolonen,Hanna
Nunes,Baltazar
dc.subject.por.fl_str_mv Health information
Data quality;Health examination survey
Fieldwork monitoring
Interviewer observation
topic Health information
Data quality;Health examination survey
Fieldwork monitoring
Interviewer observation
description Abstract Introduction: Health surveys constitute a relevant information source to access the population’s health status. Given that survey errors can significantly influence estimates and invalidate study findings, it is crucial that the fieldwork progress is closely monitored to ensure data quality. The objective of this study was to describe the fieldwork monitoring conducted during the first Portuguese National Health Examination Survey (INSEF) regarding protocol deviations and key performance indicators (KPI). Methods: Data derived from interviewer observation and from the statistical quality control of selected KPI were used to monitor the four components of the INSEF survey (recruitment, physical examination, blood collection and health questionnaire). Survey KPI included response rate, average time distribution for procedures, distribution of the last digit in a specific measure, proportion of haemolysed blood samples and missing values. Results: Interviewer observation identified deviations from the established protocols, which were promptly corrected. During fieldwork monitoring through KPI, upon implementation of corrective measures, the participation rate increased 2.5-fold, and a 4.4-fold decrease in non-adherence to standardized survey procedures was observed in the average time distribution for blood pressure measurement. The proportion of measurements with the terminal digit of 0 or 5 decreased to 19.6 and 16.5%, respectively, after the pilot study. The proportion of haemolysed samples was at baseline level, below 2.5%. Missing data issues were minimized by promptly communicating them to the interviewer, who could recontact the participant and fill in the missing information. Discussion/Conclusion: Although the majority of the deviations from the established protocol occurred during the first weeks of the fieldwork, our results emphasize the importance of continuous monitoring of survey KPI to ensure data quality throughout the survey.
publishDate 2020
dc.date.none.fl_str_mv 2020-04-01
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dc.publisher.none.fl_str_mv Escola Nacional de Saúde Pública
publisher.none.fl_str_mv Escola Nacional de Saúde Pública
dc.source.none.fl_str_mv Portuguese Journal of Public Health v.38 n.2 2020
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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