Collecting valid and reliable data: fieldwork monitoring strategies in a health examination survey
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , , , |
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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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 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S2504-31452020000200081 |
url |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S2504-31452020000200081 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S2504-31452020000200081 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
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 instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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1817553733102338048 |