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1.
Front Endocrinol (Lausanne) ; 14: 1109141, 2023.
Article in English | MEDLINE | ID: mdl-36936163

ABSTRACT

Background and objective: Although significant resources are invested each September for PCOS Awareness Month campaign, there are no studies measuring its impact. We evaluated the digital impact of PCOS Awareness Month, common themes and associated topics, top influencers, and global equity of influence during the PCOS Awareness month. Methods: In this serial cross-sectional analysis, we studied the outputs from Symplur® to study the total impressions of #PCOS on Twitter®. We tracked the hashtags-#PCOS, #PCOSawarenessmonth, #PCOSawareness-and a search query- "#PCOS OR #PCOSawarenessmonth OR #PCOSawareness"-using Sproutsocial® to study the total number of tweets related to PCOS Awareness Month. Network analysis was done using SocioViz® to identify common themes and associated topics. Using SymplurRank® machine learning algorithm, the top 10 #PCOS influencers were identified based on the number of mentions received. Google® Trends was used to study the web and news search popularity over the last 10 years beyond social media platforms. Results: An overall upward trend in the digital impact of PCOS awareness was noted since 2017. While the top themes associated with PCOS (insulin resistance, depression, anxiety, menopause, hormones, infertility) remained the same in 2021 and 2022, newer themes emerged in the latter year suggesting the need for ongoing review. News outlets were the most influential organisations during PCOS Awareness Month in both years of study. Seven of the top 10 users were the same in both years. Limited engagement from African, Asian, South American, and non-English speaking European countries was seen on Google Trends analysis. Conclusion: Active involvement from various stakeholders of PCOS Awareness Month has shaped it into an effective strategy to raise awareness with social media playing a crucial role in amplifying the message. Our findings also provide an opportunity to understand the current perceptions and expectations amongst the public, which can influence future healthcare investment and research.


Subject(s)
Polycystic Ovary Syndrome , Social Media , Female , Humans , Cross-Sectional Studies , Menopause
3.
BMJ Open Qual ; 11(2)2022 04.
Article in English | MEDLINE | ID: mdl-35396253

ABSTRACT

Simulation-based learning (SBL) is well-established in medical education and has gained popularity, particularly during the COVID-19 pandemic when in-person teaching is infeasible. SBL replicates real-life scenarios and provides a fully immersive yet safe learning environment to develop clinical competency. Simulation via Instant Messaging - Birmingham Advance (SIMBA) is an exemplar of SBL, which we previously showed to be effective in endocrinology and diabetes. Previous studies reported the efficacy of SBL in acute medicine. We studied SIMBA as a learning intervention for healthcare professionals interested in acute medicine and defined our aims using the Kirkpatrick model: (i) develop an SBL tool to improve case management; (ii) evaluate experiences and confidence before and after; and (iii) compare efficacy across training levels.Three sessions were conducted, each representing a PDSA cycle (Plan-Do-Study-Act), consisting of four cases and advertised to healthcare professionals at our hospital and social media. Moderators facilitated progression through 25 min simulations and adopted patient and clinical roles as appropriate. Consultants chaired discussion sessions using relevant guidelines. Presimulation and postsimulation questionnaires evaluated self-reported confidence, feedback and intended changes to clinical practice.Improvements were observed in self-reported confidence managing simulated cases across all sessions. Of participants, 93.3% found SIMBA applicable to clinical practice, while 89.3% and 88.0% felt SIMBA aided personal and professional development, respectively. Interestingly, 68.0% preferred SIMBA to traditional teaching methods. Following participant feedback, more challenging cases were included, and we extended the time for simulation and discussion. The transcripts were amended to facilitate more participant-moderator interaction representing clinical practice. In addition, we refined participant recruitment over the three sessions. In cycle 1, we advertised incentives: participation counted towards teaching requirements, certificates and feedback. To rectify the reduction in participants in cycle 2, we implemented new advertisement methods in cycle 3, including on-site posters, reminder emails and recruitment of the defence deanery cohort.


Subject(s)
COVID-19 , Education, Medical , Clinical Competence , Humans , Learning , Pandemics
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