Endometriosis Communities on Reddit: Quantitative Analysis (Preprint) DOI
Federica Bologna, Rosamond Thalken, Kristen Pepin

и другие.

Опубликована: Март 3, 2024

BACKGROUND Endometriosis is a chronic condition that affects 10% of the people with uterus. Due to complex social and psychological impacts caused by this condition, endometriosis often turn online health communities (OHCs) for support. OBJECTIVE Prior work identifies lack large-scale analyses experiences patients OHCs. This study aims fill gap investigating aspects aggregate user needs emerge from 2 OHCs, <i>r/Endo</i> <i>r/endometriosis</i>. METHODS We used latent Dirichlet allocation topic modeling, an unsupervised machine learning method, extract subject matter (“topic”) &gt;30,000 posts &gt;300,000 comments. In addition allocation, we leveraged supervised classification. Specifically, fine-tuned series DistilBERT models identify relationships (<i>personas</i>) post mentions as well type support seeks (<i>intent</i>). Combining results these methods, identified associations between post’s topic, personas mentioned, intent. RESULTS The most discussed topics in were <i>medical stories</i>, appointments</i>, <i>sharing symptoms</i>, <i>menstruation</i>, <i>empathy</i>. Through combination modeling classification, found when discussing users more likely mention <i>endometriosis OHCs</i> than professionals</i>. <i>Medical professional</i> was least any persona be associated Posts mentioned <i>partner</i> or <i>family</i> discuss <i>life issues</i> category, particularly <i>fertility</i>. Users sought experiential knowledge regarding treatments care processes, they also wished vent establish emotional connections about life-altering condition. CONCLUSIONS conclude members OHCs need greater empathy within clinical settings, easier access appointments, information on pathways, their loved ones. currently fulfill some provide space where can receive validation, learn manage symptoms. demonstrates value quantitative Computational extend findings small-scale studies patient insights into hard-to-reach groups. Finally, recommendations practice medical training programs.

Язык: Английский

Endometriosis Communities on Reddit: Quantitative Analysis DOI Creative Commons
Federica Bologna, Rosamond Thalken, Kristen Pepin

и другие.

Journal of Medical Internet Research, Год журнала: 2025, Номер 27, С. e57987 - e57987

Опубликована: Март 31, 2025

Background Endometriosis is a chronic condition that affects 10% of the people with uterus. Due to complex social and psychological impacts caused by this condition, endometriosis often turn online health communities (OHCs) for support. Objective Prior work identifies lack large-scale analyses experiences patients OHCs. This study aims fill gap investigating aspects aggregate user needs emerge from 2 OHCs, r/Endo r/endometriosis. Methods We used latent Dirichlet allocation topic modeling, an unsupervised machine learning method, extract subject matter (“topic”) >30,000 posts >300,000 comments. In addition allocation, we leveraged supervised classification. Specifically, fine-tuned series DistilBERT models identify relationships (personas) post mentions as well type support seeks (intent). Combining results these methods, identified associations between post’s topic, personas mentioned, intent. Results The most discussed topics in were medical stories, appointments, sharing symptoms, menstruation, empathy. Through combination modeling classification, found when discussing users more likely mention OHCs than professionals. Medical professional was least any persona be associated Posts mentioned partner or family discuss life issues category, particularly fertility. Users sought experiential knowledge regarding treatments care processes, they also wished vent establish emotional connections about life-altering condition. Conclusions conclude members need greater empathy within clinical settings, easier access information on pathways, their loved ones. currently fulfill some provide space where can receive validation, learn manage symptoms. demonstrates value quantitative Computational extend findings small-scale studies patient insights into hard-to-reach groups. Finally, recommendations practice training programs.

Язык: Английский

Процитировано

0
Spatial–temporal pattern and drivers associated with measles resurgence from 2018 to 2023: a global perspective from 192 countries DOI Creative Commons
Zhuowei Luo, Ying Shen, Xiang Xu

и другие.

BMJ Public Health, Год журнала: 2025, Номер 3(1), С. e001912 - e001912

Опубликована: Янв. 1, 2025

Introduction The resurgence of measles, a highly contagious infectious disease, has become serious global public health issue. In this study, we aimed to explore spatial–temporal measles trends and the underlying causes help formulate effective intervention strategies. Methods We analysed incidence data from 192 countries, integrating vaccination coverage WHO/UNICEF Estimates National Immunization Coverage, armed conflict Uppsala Conflict Data Program gross domestic product (GDP) per capita population World Bank’s Development Indicators. Hot spot analysis, mean centre standard deviational ellipse models were used examine geographic temporal shifts in outbreaks. A negative binomial mixed‐effects model was then constructed determine influence size, GDP capita, vaccine on incidence. Results Our findings showed pronounced southward shift outbreaks Southeast Asia sub-Saharan Africa between 2018 2019, followed by northward progression towards Europe 2019 2023. indicated that significantly increased (estimate=1.131, p<0.05) higher second dose (MCV2) reduced (estimate=–0.052, p<0.05). Additionally, regions with lower experienced elevated burdens, reflecting resource constraints diminished infrastructure. Conclusions Ensuring robust two-dose coverage, particularly for MCV2, remains critical reducing worldwide. These results underscore importance tailored interventions, especially conflict‐affected lower‐income regions. Enhanced spatiotemporal surveillance targeted initiatives can address both direct impact systems broader socioeconomic drivers facilitate

Язык: Английский

Процитировано

0
Social Media as an Effective Provider of Quality-Assured and Accurate Information to Increase Vaccine Rates: Systematic Review DOI Creative Commons
R.P. Hansen, Nikita Baiju, Elia Gabarrón

и другие.

Journal of Medical Internet Research, Год журнала: 2023, Номер 25, С. e50276 - e50276

Опубликована: Окт. 31, 2023

Vaccination programs are instrumental in prolonging and improving people's lives by preventing diseases such as measles, diphtheria, tetanus, pertussis, influenza from escalating into fatal epidemics. Despite the significant impact of these programs, a substantial number individuals, including 20 million infants annually, lack sufficient access to vaccines. Therefore, it is imperative raise awareness about vaccination programs.

Язык: Английский

Процитировано

8
Endometriosis Online Communities: A Quantitative Analysis DOI Open Access
Federica Bologna, Rosamond Thalken, Kristen Pepin

и другие.

medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Фев. 29, 2024

Abstract Background Endometriosis is a chronic condition that affects 10% of people with uterus. Due to the complex social and psychological impacts caused by condition, endometriosis often turn online health communities (OHCs) for support. Objective Prior work identifies lack large-scale analyses patient experiences OHCs. Our study fills this gap investigating aspects aggregate user needs emerge from two OHCs, r/Endo r/endometriosis . Methods We leverage topic modeling supervised machine learning identify associations between post’s subject matter (“topics”), relationships (“personas”) mentioned, type support post seeks (“intent”). Results The most discussed topics in posts are medical stories, appointments, sharing symptoms, menstruation , empathy In addition, when discussing appointments users more likely mention OHCs than professionals Furthermore, professional least any persona be associated Posts partner or family discuss life issues category, particular fertility Lastly, we find while seek experiential knowledge regarding treatments healthcare processes, they also wish vent establish emotional connections about life-altering condition. Conclusions provide members space where can care pathways, learn manage receive validation. results emphasize need greater within clinical settings, easier access information on further loved ones. demonstrates value quantitative OHCs: extend findings small-scale studies insight into hard-to-reach groups. help design interventions improve care, as argued previous studies.

Язык: Английский

Процитировано

1
Towards ‘Formalising’ WhatsApp Teledermatology Practice in KZ-N District Hospitals: Key Informant Interviews DOI Open Access
Christopher Morris, Richard E. Scott, Maurice Mars

и другие.

International Journal of Environmental Research and Public Health, Год журнала: 2024, Номер 21(10), С. 1388 - 1388

Опубликована: Окт. 21, 2024

District hospitals in KwaZulu-Natal Province, South Africa, do not have onsite specialist dermatology services. Doctors at these use WhatsApp instant messaging to informally seek advice from dermatologists and colleagues before possible referral. They expressed the need formalise teledermatology.

Язык: Английский

Процитировано

1
Examining the Effectiveness of a Digital Media Campaign at Reducing the Duration of Untreated Psychosis in New York State: Results From a Stepped-wedge Randomized Controlled Trial DOI
Michael L. Birnbaum,

Chantel Garrett,

Amit Baumel

и другие.

Schizophrenia Bulletin, Год журнала: 2024, Номер 50(3), С. 705 - 716

Опубликована: Фев. 26, 2024

Longer duration of untreated psychosis (DUP) predicts worse outcomes in First Episode Psychosis (FEP). Searching online represents one the first proactive step toward treatment initiation for many, yet few studies have informed how best to support FEP youth as they engage early help-seeking steps care.

Язык: Английский

Процитировано

0
Dynamics of Timely Vaccination Among Tender-Age Infants in two Subjects of Russian Federation with the Lowest Immunization Coverage in 2020: Serial Cross-Sectional Study DOI Creative Commons
Radima A. Mukozheva,

Tatyana V. Kulichenko,

Liudmila Yu. Semavina

и другие.

Вопросы современной педиатрии, Год журнала: 2024, Номер 23(2), С. 84 - 95

Опубликована: Май 5, 2024

Background . It was revealed in 2020 that immunization of children decreed times several subjects Russian Federation below the standard level. Therefore, monitoring timely vaccination these regions relevant. Objective The aim study is to evaluate changes timeliness two with low rates according data. Methods Immunization born 2015–2017 and 2020–2022 were studied form federal statistical (FFSM) No. 6 record cards (form 063/y) obtained from children's polyclinics Republic Bashkortostan (two three 2023) Sakha (Yakutia) four 2023). among against infections national schedule (NIS) list determined. evaluated by proportion who received required number vaccine doses each infection NIS age all persons age. Results Data 998 records analyzed. increase vaccine-controlled revealed. vaccinated has increased 1.5–4 times. Timely 95% (by FFSM 6) achieved tuberculosis, hepatitis B, measles, rubella, mumps, mumps. multivalent vaccines’ usage simultaneous administration vaccines been discovered. Conclusion Monitoring level documented allows effectively control routine quality. Implementation provides radical change rate pediatric population.

Язык: Английский

Процитировано

0
Amplifying youth voices: young people’s recommendations for policy and practice to enhance vaccine acceptability DOI Creative Commons
Oluwaseyi Dolapo Somefun, Marisa Casale, Genevieve Haupt Ronnie

и другие.

BMC Health Services Research, Год журнала: 2024, Номер 24(1)

Опубликована: Ноя. 18, 2024

Язык: Английский

Процитировано

0
Endometriosis Communities on Reddit: Quantitative Analysis (Preprint) DOI
Federica Bologna, Rosamond Thalken, Kristen Pepin

и другие.

Опубликована: Март 3, 2024

BACKGROUND Endometriosis is a chronic condition that affects 10% of the people with uterus. Due to complex social and psychological impacts caused by this condition, endometriosis often turn online health communities (OHCs) for support. OBJECTIVE Prior work identifies lack large-scale analyses experiences patients OHCs. This study aims fill gap investigating aspects aggregate user needs emerge from 2 OHCs, <i>r/Endo</i> <i>r/endometriosis</i>. METHODS We used latent Dirichlet allocation topic modeling, an unsupervised machine learning method, extract subject matter (“topic”) &gt;30,000 posts &gt;300,000 comments. In addition allocation, we leveraged supervised classification. Specifically, fine-tuned series DistilBERT models identify relationships (<i>personas</i>) post mentions as well type support seeks (<i>intent</i>). Combining results these methods, identified associations between post’s topic, personas mentioned, intent. RESULTS The most discussed topics in were <i>medical stories</i>, appointments</i>, <i>sharing symptoms</i>, <i>menstruation</i>, <i>empathy</i>. Through combination modeling classification, found when discussing users more likely mention <i>endometriosis OHCs</i> than professionals</i>. <i>Medical professional</i> was least any persona be associated Posts mentioned <i>partner</i> or <i>family</i> discuss <i>life issues</i> category, particularly <i>fertility</i>. Users sought experiential knowledge regarding treatments care processes, they also wished vent establish emotional connections about life-altering condition. CONCLUSIONS conclude members OHCs need greater empathy within clinical settings, easier access appointments, information on pathways, their loved ones. currently fulfill some provide space where can receive validation, learn manage symptoms. demonstrates value quantitative Computational extend findings small-scale studies patient insights into hard-to-reach groups. Finally, recommendations practice medical training programs.

Язык: Английский

Процитировано

0