Collaborative Analysis of Observational Data in Healthcare

Detalhes bibliográficos
Autor(a) principal: McCartan, Charlotte
Data de Publicação: 2023
Outros Autores: King, Sharla, Roduta Roberts, Mary
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.36367/ntqr.16.2023.e786
Resumo: Solving complex problems can be challenging as they often involve multiple layers of related issues and factors. Observational research is a helpful tool for understanding healthcare's complex and contextually dependent problems; however, observations can be time-consuming and resource-intensive, particularly when including the analysis process. As a result, researchers may utilize other qualitative methods, such as interviews or focus groups. However choosing a strategy different than observations could miss subtleties of care that happen in practice. It is easy to underestimate the value of data gathered through firsthand observations of patient-provider and team interactions. One solution to making observations a more convenient method in healthcare research is collaborating in the analysis process. Research collaboration involves establishing an interprofessional research team with diverse backgrounds and professional perspectives. In this way, the group comprises individuals from various roles and different professional backgrounds to ensure exhaustive findings and improve the reliability and accuracy of the results. The diversity in the team represents the intricate dynamics in the complex system of care. Although there are guidelines for collaborative analysis in a traditional ethnographic study, there must be more focus on healthcare research. This paper explains the concepts and features of collaborative analysis in interprofessional research. This approach offers a systematic way to construct a code book, which can produce comprehensive and valuable insights into the complex dynamic of care.
id RCAP_ce0754f99daf82e9564655fb39be7948
oai_identifier_str oai:ojs.publi.ludomedia.org:article/786
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Collaborative Analysis of Observational Data in HealthcareInterdisciplinary researchHealth services researchResearch designObserver variationQualitative researchData analysisSolving complex problems can be challenging as they often involve multiple layers of related issues and factors. Observational research is a helpful tool for understanding healthcare's complex and contextually dependent problems; however, observations can be time-consuming and resource-intensive, particularly when including the analysis process. As a result, researchers may utilize other qualitative methods, such as interviews or focus groups. However choosing a strategy different than observations could miss subtleties of care that happen in practice. It is easy to underestimate the value of data gathered through firsthand observations of patient-provider and team interactions. One solution to making observations a more convenient method in healthcare research is collaborating in the analysis process. Research collaboration involves establishing an interprofessional research team with diverse backgrounds and professional perspectives. In this way, the group comprises individuals from various roles and different professional backgrounds to ensure exhaustive findings and improve the reliability and accuracy of the results. The diversity in the team represents the intricate dynamics in the complex system of care. Although there are guidelines for collaborative analysis in a traditional ethnographic study, there must be more focus on healthcare research. This paper explains the concepts and features of collaborative analysis in interprofessional research. This approach offers a systematic way to construct a code book, which can produce comprehensive and valuable insights into the complex dynamic of care.Ludomedia2023-09-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.36367/ntqr.16.2023.e786https://doi.org/10.36367/ntqr.16.2023.e786New Trends in Qualitative Research; Vol. 16 (2023): Qualitative Research: Practices and Challenges; e786New Trends in Qualitative Research; Vol. 16 (2023): Qualitative Research: Practices and Challenges; e786New Trends in Qualitative Research; Vol. 16 (2023): Qualitative Research: Practices and Challenges; e7862184-777010.36367/ntqr.16.2023reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttps://publi.ludomedia.org/index.php/ntqr/article/view/786https://publi.ludomedia.org/index.php/ntqr/article/view/786/869Copyright (c) 2023 New Trends in Qualitative Researchinfo:eu-repo/semantics/openAccessMcCartan, CharlotteKing, SharlaRoduta Roberts, Mary2023-10-15T06:59:21Zoai:ojs.publi.ludomedia.org:article/786Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:28:15.299630Repositório 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 Collaborative Analysis of Observational Data in Healthcare
title Collaborative Analysis of Observational Data in Healthcare
spellingShingle Collaborative Analysis of Observational Data in Healthcare
McCartan, Charlotte
Interdisciplinary research
Health services research
Research design
Observer variation
Qualitative research
Data analysis
title_short Collaborative Analysis of Observational Data in Healthcare
title_full Collaborative Analysis of Observational Data in Healthcare
title_fullStr Collaborative Analysis of Observational Data in Healthcare
title_full_unstemmed Collaborative Analysis of Observational Data in Healthcare
title_sort Collaborative Analysis of Observational Data in Healthcare
author McCartan, Charlotte
author_facet McCartan, Charlotte
King, Sharla
Roduta Roberts, Mary
author_role author
author2 King, Sharla
Roduta Roberts, Mary
author2_role author
author
dc.contributor.author.fl_str_mv McCartan, Charlotte
King, Sharla
Roduta Roberts, Mary
dc.subject.por.fl_str_mv Interdisciplinary research
Health services research
Research design
Observer variation
Qualitative research
Data analysis
topic Interdisciplinary research
Health services research
Research design
Observer variation
Qualitative research
Data analysis
description Solving complex problems can be challenging as they often involve multiple layers of related issues and factors. Observational research is a helpful tool for understanding healthcare's complex and contextually dependent problems; however, observations can be time-consuming and resource-intensive, particularly when including the analysis process. As a result, researchers may utilize other qualitative methods, such as interviews or focus groups. However choosing a strategy different than observations could miss subtleties of care that happen in practice. It is easy to underestimate the value of data gathered through firsthand observations of patient-provider and team interactions. One solution to making observations a more convenient method in healthcare research is collaborating in the analysis process. Research collaboration involves establishing an interprofessional research team with diverse backgrounds and professional perspectives. In this way, the group comprises individuals from various roles and different professional backgrounds to ensure exhaustive findings and improve the reliability and accuracy of the results. The diversity in the team represents the intricate dynamics in the complex system of care. Although there are guidelines for collaborative analysis in a traditional ethnographic study, there must be more focus on healthcare research. This paper explains the concepts and features of collaborative analysis in interprofessional research. This approach offers a systematic way to construct a code book, which can produce comprehensive and valuable insights into the complex dynamic of care.
publishDate 2023
dc.date.none.fl_str_mv 2023-09-01
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 https://doi.org/10.36367/ntqr.16.2023.e786
https://doi.org/10.36367/ntqr.16.2023.e786
url https://doi.org/10.36367/ntqr.16.2023.e786
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://publi.ludomedia.org/index.php/ntqr/article/view/786
https://publi.ludomedia.org/index.php/ntqr/article/view/786/869
dc.rights.driver.fl_str_mv Copyright (c) 2023 New Trends in Qualitative Research
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 New Trends in Qualitative Research
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Ludomedia
publisher.none.fl_str_mv Ludomedia
dc.source.none.fl_str_mv New Trends in Qualitative Research; Vol. 16 (2023): Qualitative Research: Practices and Challenges; e786
New Trends in Qualitative Research; Vol. 16 (2023): Qualitative Research: Practices and Challenges; e786
New Trends in Qualitative Research; Vol. 16 (2023): Qualitative Research: Practices and Challenges; e786
2184-7770
10.36367/ntqr.16.2023
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
repository.mail.fl_str_mv
_version_ 1799133550633549824