Cross-sectional study of pharmacovigilance knowledge, attitudes, and practices based on structural equation modeling and network analysis: a case study of healthcare personnel and the public in Yunnan Province
BackgroundThis study focuses on understanding pharmacovigilance knowledge, attitudes, and practices (KAP) in Yunnan Province, employing Structural Equation Modeling (SEM) and network analysis. It aims to evaluate the interplay of these factors among healthcare personnel and the public, assessing the...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-03-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2024.1358117/full |
| _version_ | 1827314719974752256 |
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| author | Dan Qin Dan Qin Dan Qin Fan Li Fan Li Fan Li Jian Yang Jian Yang Jian Yang |
| author_facet | Dan Qin Dan Qin Dan Qin Fan Li Fan Li Fan Li Jian Yang Jian Yang Jian Yang |
| author_sort | Dan Qin |
| collection | DOAJ |
| description | BackgroundThis study focuses on understanding pharmacovigilance knowledge, attitudes, and practices (KAP) in Yunnan Province, employing Structural Equation Modeling (SEM) and network analysis. It aims to evaluate the interplay of these factors among healthcare personnel and the public, assessing the impact of demographic characteristics to inform policy and educational initiatives.MethodsA cross-sectional survey was conducted in Yunnan, targeting healthcare personnel and the public. Data collection was through questionnaires, with subsequent analysis involving correlation matrices, network visualization, and SEM. The data analysis utilized SPSS 27.0, AMOS 26.0, and Gephi software for network analysis.ResultsThis study evaluated pharmacovigilance KAP among 209 public participants and 823 healthcare personnel, uncovering significant differences. Public respondents scored averages of 4.62 ± 2.70 in knowledge, 31.99 ± 4.72 in attitudes, and 12.07 ± 4.96 in practices, while healthcare personnel scored 4.38 ± 3.06, 27.95 ± 3.34, and 7.75 ± 2.77, respectively. Statistically significant correlations across KAP elements were observed in both groups, highlighting the interconnectedness of these factors. Demographic influences were more pronounced among healthcare personnel, emphasizing the role of professional background in pharmacovigilance competency. Network analysis identified knowledge as a key influencer within the pharmacovigilance KAP network, suggesting targeted education as a vital strategy for enhancing pharmacovigilance engagement.ConclusionThe research reveals a less-than-ideal state of pharmacovigilance KAP among both healthcare personnel and the public in Yunnan, with significant differences between the two groups. SEM and network analysis confirmed a strong positive link among KAP components, moderated by demographics like age, occupation, and education level. These insights emphasize the need to enhance pharmacovigilance education and awareness, thereby promoting safer drug use. |
| first_indexed | 2024-04-24T22:41:03Z |
| format | Article |
| id | doaj.art-fdeec45db78f452a9e5f391df01dc0c6 |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-04-24T22:41:03Z |
| publishDate | 2024-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-fdeec45db78f452a9e5f391df01dc0c62024-03-19T04:49:08ZengFrontiers Media S.A.Frontiers in Public Health2296-25652024-03-011210.3389/fpubh.2024.13581171358117Cross-sectional study of pharmacovigilance knowledge, attitudes, and practices based on structural equation modeling and network analysis: a case study of healthcare personnel and the public in Yunnan ProvinceDan Qin0Dan Qin1Dan Qin2Fan Li3Fan Li4Fan Li5Jian Yang6Jian Yang7Jian Yang8School of Pharmaceutical Sciences and Yunnan Provincial Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming, Yunnan, ChinaYunnan Provincial Center for Drug Policy Research, Kunming, Yunnan, ChinaCollege of Modern Biomedical Industry, Kunming Medical University, Kunming, Yunnan, ChinaYunnan Provincial Center for Drug Policy Research, Kunming, Yunnan, ChinaCollege of Modern Biomedical Industry, Kunming Medical University, Kunming, Yunnan, ChinaIncubation Center of Scientific and Technological Achievements, Kunming Medical University, Kunming, Yunnan, ChinaSchool of Pharmaceutical Sciences and Yunnan Provincial Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming, Yunnan, ChinaYunnan Provincial Center for Drug Policy Research, Kunming, Yunnan, ChinaCollege of Modern Biomedical Industry, Kunming Medical University, Kunming, Yunnan, ChinaBackgroundThis study focuses on understanding pharmacovigilance knowledge, attitudes, and practices (KAP) in Yunnan Province, employing Structural Equation Modeling (SEM) and network analysis. It aims to evaluate the interplay of these factors among healthcare personnel and the public, assessing the impact of demographic characteristics to inform policy and educational initiatives.MethodsA cross-sectional survey was conducted in Yunnan, targeting healthcare personnel and the public. Data collection was through questionnaires, with subsequent analysis involving correlation matrices, network visualization, and SEM. The data analysis utilized SPSS 27.0, AMOS 26.0, and Gephi software for network analysis.ResultsThis study evaluated pharmacovigilance KAP among 209 public participants and 823 healthcare personnel, uncovering significant differences. Public respondents scored averages of 4.62 ± 2.70 in knowledge, 31.99 ± 4.72 in attitudes, and 12.07 ± 4.96 in practices, while healthcare personnel scored 4.38 ± 3.06, 27.95 ± 3.34, and 7.75 ± 2.77, respectively. Statistically significant correlations across KAP elements were observed in both groups, highlighting the interconnectedness of these factors. Demographic influences were more pronounced among healthcare personnel, emphasizing the role of professional background in pharmacovigilance competency. Network analysis identified knowledge as a key influencer within the pharmacovigilance KAP network, suggesting targeted education as a vital strategy for enhancing pharmacovigilance engagement.ConclusionThe research reveals a less-than-ideal state of pharmacovigilance KAP among both healthcare personnel and the public in Yunnan, with significant differences between the two groups. SEM and network analysis confirmed a strong positive link among KAP components, moderated by demographics like age, occupation, and education level. These insights emphasize the need to enhance pharmacovigilance education and awareness, thereby promoting safer drug use.https://www.frontiersin.org/articles/10.3389/fpubh.2024.1358117/fullpharmacovigilanceadverse drug reactionsknowledge attitudes and practices (KAP)healthcare personnelpublicstructural equation modeling |
| spellingShingle | Dan Qin Dan Qin Dan Qin Fan Li Fan Li Fan Li Jian Yang Jian Yang Jian Yang Cross-sectional study of pharmacovigilance knowledge, attitudes, and practices based on structural equation modeling and network analysis: a case study of healthcare personnel and the public in Yunnan Province Frontiers in Public Health pharmacovigilance adverse drug reactions knowledge attitudes and practices (KAP) healthcare personnel public structural equation modeling |
| title | Cross-sectional study of pharmacovigilance knowledge, attitudes, and practices based on structural equation modeling and network analysis: a case study of healthcare personnel and the public in Yunnan Province |
| title_full | Cross-sectional study of pharmacovigilance knowledge, attitudes, and practices based on structural equation modeling and network analysis: a case study of healthcare personnel and the public in Yunnan Province |
| title_fullStr | Cross-sectional study of pharmacovigilance knowledge, attitudes, and practices based on structural equation modeling and network analysis: a case study of healthcare personnel and the public in Yunnan Province |
| title_full_unstemmed | Cross-sectional study of pharmacovigilance knowledge, attitudes, and practices based on structural equation modeling and network analysis: a case study of healthcare personnel and the public in Yunnan Province |
| title_short | Cross-sectional study of pharmacovigilance knowledge, attitudes, and practices based on structural equation modeling and network analysis: a case study of healthcare personnel and the public in Yunnan Province |
| title_sort | cross sectional study of pharmacovigilance knowledge attitudes and practices based on structural equation modeling and network analysis a case study of healthcare personnel and the public in yunnan province |
| topic | pharmacovigilance adverse drug reactions knowledge attitudes and practices (KAP) healthcare personnel public structural equation modeling |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2024.1358117/full |
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