Pub Date : 2022-12-01DOI: 10.1136/bmjpo-2022-rcpch.29
Miriam Smyth, Emma Gordon
{"title":"1860 Raising our heeadsss– a review of the use and documentation of an adolescent psychosocial risk assessment instrument in an Irish university teaching hospital","authors":"Miriam Smyth, Emma Gordon","doi":"10.1136/bmjpo-2022-rcpch.29","DOIUrl":"https://doi.org/10.1136/bmjpo-2022-rcpch.29","url":null,"abstract":"","PeriodicalId":22968,"journal":{"name":"The Poster","volume":"297 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75411646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1136/bmjpo-2022-rcpch.59
M. Cooper, Rum Thomas, Clare Windsor, T. Wenham
{"title":"1939 How can we improve the transition process of children and young people to adult critical care?","authors":"M. Cooper, Rum Thomas, Clare Windsor, T. Wenham","doi":"10.1136/bmjpo-2022-rcpch.59","DOIUrl":"https://doi.org/10.1136/bmjpo-2022-rcpch.59","url":null,"abstract":"","PeriodicalId":22968,"journal":{"name":"The Poster","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88184709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1136/bmjpo-2022-rcpch.17
Lydia Rosseter, C. Yemula
{"title":"1836 ADHD treatment response form – for young people by young people; empowering young people to be active participants in their own ADHD management and healthcare","authors":"Lydia Rosseter, C. Yemula","doi":"10.1136/bmjpo-2022-rcpch.17","DOIUrl":"https://doi.org/10.1136/bmjpo-2022-rcpch.17","url":null,"abstract":"","PeriodicalId":22968,"journal":{"name":"The Poster","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87824778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1136/bmjpo-2022-rcpch.67
P. Sipanoun, S. Aldiss, Louise E. Porter, Sue Morgan, F. Gibson
{"title":"1952 Transition into adult services – what characteristics might be core to whole organisation change?","authors":"P. Sipanoun, S. Aldiss, Louise E. Porter, Sue Morgan, F. Gibson","doi":"10.1136/bmjpo-2022-rcpch.67","DOIUrl":"https://doi.org/10.1136/bmjpo-2022-rcpch.67","url":null,"abstract":"","PeriodicalId":22968,"journal":{"name":"The Poster","volume":"238 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77475134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1136/bmjpo-2022-rcpch.35
A. Bouraoui, M. Bai, C. Fisher, S. Mavrommatis, Luke Williamson, C. Ciurtin, Maria Leandro, Debait Sen
ObjectivesNon-attendance of scheduled hospital appointments represents a major issue affecting service effectiveness, efficiency and quality of care costing the NHS over £1billion annually. This impact is even more detrimental at a time where the NHS is experiencing record high waiting times in the peri- COVID-19 pandemic era.Rather than a reactive model of discharging patients for nonattending their appointments, we propose a proactive model identifying patients at risk of not showing up and provide them with right support at the right time. This approach is especially important for vulnerable population including young people (YP) due to the complex interplay between developmental, socio-economic factors can impact significantly on their medical care.The increasing use of electronic health record systems (EHRS) and data availability creates opportunities to develop risk scores for specific patient populations.In this study, we aim to develop a machine learning approach to develop a complex, multi-dimensional predictive model to identify YP at risk of clinic nonattendance.MethodsUniversity College London Hospital (UCLH) switched to a new EHRS in April 2019 . We extracted data on outpatient Adolescent and Young Adult Rheumatology (AYAR) between 2019 -2022.Our primary outcome was nonattendance of a scheduled appointment.Our Predictor variables were defined after literature review, consultation with clinical and operational teams. We extracted data on 67 predictors of nonattendance. These variables are broadly divided into demographics (e.g, Age, Sex, ethnicity) and index of multiple deprivation (IMD) extracted from office of national statistics (ONS) database. We also included service utilisation history (e.g., previous history of clinic non-attendance.), appointment information (month, day, time, clinic codes), and patient engagement (e.g., active in MyChart [ online patient portal]).Using data from 11602 outpatient appointments in (AYAR) clinics at UCLH, we built and assessed the performance of a predictive model as to whether a YP would not attend a scheduled outpatient appointment. We used logistic regression analysis to fit and assess the Model built. We evaluated its fit based on discrimination and calibration.ResultsWe identified a total of 1517 clinic non-attendance out of total of 11602 (13.1%) appointment.Female/male ratio was 2.03 in non attendance group as compared to 2.33 in total clinic population.In terms of age group, 10% (606/5547) of clinics booked for YP aged 14–18 were not attended as compared to 15% (651/4282 ) in those aged [19–24].Feature engineering analysis revealed that the most significant factors were IMD followed by distance, previous history of Non-attendance, age group and appointment hour.ConclusionsAiming to identify YP at risk of Non-attendance, we used a step-by-step approach to build a model that can be applied using EHR and IMD data at the point of care. High proportion of YP nonattending their appointments wer
{"title":"1871 Aligning national and local data to predict clinic non-attendance in adolescent and young adult rheumatology using machine learning model","authors":"A. Bouraoui, M. Bai, C. Fisher, S. Mavrommatis, Luke Williamson, C. Ciurtin, Maria Leandro, Debait Sen","doi":"10.1136/bmjpo-2022-rcpch.35","DOIUrl":"https://doi.org/10.1136/bmjpo-2022-rcpch.35","url":null,"abstract":"ObjectivesNon-attendance of scheduled hospital appointments represents a major issue affecting service effectiveness, efficiency and quality of care costing the NHS over £1billion annually. This impact is even more detrimental at a time where the NHS is experiencing record high waiting times in the peri- COVID-19 pandemic era.Rather than a reactive model of discharging patients for nonattending their appointments, we propose a proactive model identifying patients at risk of not showing up and provide them with right support at the right time. This approach is especially important for vulnerable population including young people (YP) due to the complex interplay between developmental, socio-economic factors can impact significantly on their medical care.The increasing use of electronic health record systems (EHRS) and data availability creates opportunities to develop risk scores for specific patient populations.In this study, we aim to develop a machine learning approach to develop a complex, multi-dimensional predictive model to identify YP at risk of clinic nonattendance.MethodsUniversity College London Hospital (UCLH) switched to a new EHRS in April 2019 . We extracted data on outpatient Adolescent and Young Adult Rheumatology (AYAR) between 2019 -2022.Our primary outcome was nonattendance of a scheduled appointment.Our Predictor variables were defined after literature review, consultation with clinical and operational teams. We extracted data on 67 predictors of nonattendance. These variables are broadly divided into demographics (e.g, Age, Sex, ethnicity) and index of multiple deprivation (IMD) extracted from office of national statistics (ONS) database. We also included service utilisation history (e.g., previous history of clinic non-attendance.), appointment information (month, day, time, clinic codes), and patient engagement (e.g., active in MyChart [ online patient portal]).Using data from 11602 outpatient appointments in (AYAR) clinics at UCLH, we built and assessed the performance of a predictive model as to whether a YP would not attend a scheduled outpatient appointment. We used logistic regression analysis to fit and assess the Model built. We evaluated its fit based on discrimination and calibration.ResultsWe identified a total of 1517 clinic non-attendance out of total of 11602 (13.1%) appointment.Female/male ratio was 2.03 in non attendance group as compared to 2.33 in total clinic population.In terms of age group, 10% (606/5547) of clinics booked for YP aged 14–18 were not attended as compared to 15% (651/4282 ) in those aged [19–24].Feature engineering analysis revealed that the most significant factors were IMD followed by distance, previous history of Non-attendance, age group and appointment hour.ConclusionsAiming to identify YP at risk of Non-attendance, we used a step-by-step approach to build a model that can be applied using EHR and IMD data at the point of care. High proportion of YP nonattending their appointments wer","PeriodicalId":22968,"journal":{"name":"The Poster","volume":"46 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83891060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1136/bmjpo-2022-rcpch.16
M. Furtado, S. Mullen, Ngozi Oketah
ObjectivesThe aim of this study is to observe the trends in the mental health presentations of 10 to 16-year-olds to the paediatric emergency department (ED) in Belfast over a two year period, capturing the onset and peak of the COVID-19 pandemic.MethodsData was gathered on attendances to a paediatric ED between October 2019, prior to the announcement of the COVID-19 pandemic, until October 2021. Data was collected on demographics including postcode, as well as trends of the presentations including reasons for presentation, timing of presentations, and outcomes following emergency department attendance.ResultsThere were 488 presentations between the start of October 2019 and the end of October 2021, of which the ratio of male-to-female was 19.7%:80.3%. A majority (76.0%) of cases presented out-of-hours. The peak number of admissions were in May 2021 with a total of 33. The overall admission rate was 26.8% of overall presentations. Of the 131 cases which resulted in admission, 3 patients (2.3%) were referred directly to the paediatric intensive care unit (PICU). The most common cause of presentation and admission was overdose which made up 40.0% of cases.ConclusionsDuring the pandemic, the hospital saw an increase in the number of young people with mental health difficulties in ED. Peaks in presentations were noted initially at the easement of restrictions around 5 months following onset of lockdown. The data also allowed us to look at demographic presentation areas using post codes which could potentially be targeted by community teams. The literature acknowledges notable variations in the specific types of presentations, with an increased proportion being due to self-harm and eating disorders. There may be a link between the environmental factors of being under lockdown with limited social contact and increased online media consumption causing adolescent health to deteriorate in specific ways.
{"title":"1835 Trends in mental health presentations of adolescents to a paediatric emergency department over the COVID-19 pandemic","authors":"M. Furtado, S. Mullen, Ngozi Oketah","doi":"10.1136/bmjpo-2022-rcpch.16","DOIUrl":"https://doi.org/10.1136/bmjpo-2022-rcpch.16","url":null,"abstract":"ObjectivesThe aim of this study is to observe the trends in the mental health presentations of 10 to 16-year-olds to the paediatric emergency department (ED) in Belfast over a two year period, capturing the onset and peak of the COVID-19 pandemic.MethodsData was gathered on attendances to a paediatric ED between October 2019, prior to the announcement of the COVID-19 pandemic, until October 2021. Data was collected on demographics including postcode, as well as trends of the presentations including reasons for presentation, timing of presentations, and outcomes following emergency department attendance.ResultsThere were 488 presentations between the start of October 2019 and the end of October 2021, of which the ratio of male-to-female was 19.7%:80.3%. A majority (76.0%) of cases presented out-of-hours. The peak number of admissions were in May 2021 with a total of 33. The overall admission rate was 26.8% of overall presentations. Of the 131 cases which resulted in admission, 3 patients (2.3%) were referred directly to the paediatric intensive care unit (PICU). The most common cause of presentation and admission was overdose which made up 40.0% of cases.ConclusionsDuring the pandemic, the hospital saw an increase in the number of young people with mental health difficulties in ED. Peaks in presentations were noted initially at the easement of restrictions around 5 months following onset of lockdown. The data also allowed us to look at demographic presentation areas using post codes which could potentially be targeted by community teams. The literature acknowledges notable variations in the specific types of presentations, with an increased proportion being due to self-harm and eating disorders. There may be a link between the environmental factors of being under lockdown with limited social contact and increased online media consumption causing adolescent health to deteriorate in specific ways.","PeriodicalId":22968,"journal":{"name":"The Poster","volume":"37 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81883085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1136/bmjpo-2022-rcpch.49
Nizam Malik Bin Bali Mahomed, Nalayini Kumaralingam, Rossana Fazzina, N. O’Donnell, T. Segal, Irene O’Donnell
{"title":"1917 First post-pandemic adolescent engagement event","authors":"Nizam Malik Bin Bali Mahomed, Nalayini Kumaralingam, Rossana Fazzina, N. O’Donnell, T. Segal, Irene O’Donnell","doi":"10.1136/bmjpo-2022-rcpch.49","DOIUrl":"https://doi.org/10.1136/bmjpo-2022-rcpch.49","url":null,"abstract":"","PeriodicalId":22968,"journal":{"name":"The Poster","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75031334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1136/bmjpo-2022-rcpch.46
A. Hodgson, A. Roueché, R. Hodgkinson
{"title":"1910 Improving our communication and management skills in adolescent health: could virtual simulation training be the way forward?","authors":"A. Hodgson, A. Roueché, R. Hodgkinson","doi":"10.1136/bmjpo-2022-rcpch.46","DOIUrl":"https://doi.org/10.1136/bmjpo-2022-rcpch.46","url":null,"abstract":"","PeriodicalId":22968,"journal":{"name":"The Poster","volume":"53 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74420244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1136/bmjpo-2022-rcpch.33
A. Alansari, Madeeha Kamal, S. Hamad, Malissa Ali, Anood Al Assaf
ObjectivesThis study examined the impact of the COVID-19 pandemic on adolescents with eating disorders, mainly anorexia nervosa, and Bulimia nervosa, using data collection pre-pandemic and during the pandemic in the outpatient clinics in Sidra hospital, Qatar.MethodsMedical records of the patients with eating disorders were reviewed for the period between August 2017 and April 2022. Diagnosis of Anorexia Nervosa and Bulimia Nervosa was done using the DSM-V criteria. For the purpose of this study, August 2017 to March 2020 is considered ‘pre-pandemic' and April 2020 to April 2022 is ‘post-pandemic'.The clinical assessment in the pre-pandemic period was carried out face to face in the clinic, while a hybrid model of clinical care that uses telephone consultations and a limited number of patients' physical appointments was adapted during the pandemic period. The number of clinical appointments increased gradually as the number of COVID-19 cases decreased in the country.The study compared the numbers of diagnosed patients with eating disorders between the two mentioned periods and investigated their specific characteristics (including age, gender, and specific type of eating disorder) and associated comorbidities, like depression and anxiety.ResultsIn the pre-pandemic period, 58 adolescents aged between 8–18 years old were assessed and diagnosed with an eating disorder. Out of the 58 diagnosed with an eating disorder, 16 patients were diagnosed with co-morbid depression and 11 patients with anxiety. During the pandemic, 79 adolescents were diagnosed with an eating disorder and 37 out of the 53 were diagnosed with co-morbid depression. The majority of cases were adolescent females above 12 years of age. This study shows a 27% increase in the number of cases diagnosed with anorexia and bulimia nervosa during the pandemic. In addition, there's a rise in the number of associated psychiatric comorbidities, including depression, anxiety, and other conditions like irritability and inattention.ConclusionsThis study showed an increased rate of eating disorders and co-morbid mental health diseases in Qatar during the COVID-19 pandemic. The increase of young people with an eating disorder could be attributed to disruptions of their routines, quarantine, and interruptions of treatment. Our results agree with previous research suggesting that mental health disorders such as depression, anxiety, substance misuse, PTSD, and suicidal tendencies increase in times of economic instability and natural disasters.1 long term impact must be further examined to prevent long term detrimental mental health effects on the young generation and the health care system in Qatar.ReferenceGuerra O, Eboreime E. The impact of economic recessions on depression, anxiety, and trauma-related disorders and illness outcomes—A scoping review. Behavi Sciences. 2021;11(9):119. doi:10.3390/bs11090119
{"title":"1869 The challenges of the COVID-19 pandemic on young people with eating disorders: our experience in Qatar","authors":"A. Alansari, Madeeha Kamal, S. Hamad, Malissa Ali, Anood Al Assaf","doi":"10.1136/bmjpo-2022-rcpch.33","DOIUrl":"https://doi.org/10.1136/bmjpo-2022-rcpch.33","url":null,"abstract":"ObjectivesThis study examined the impact of the COVID-19 pandemic on adolescents with eating disorders, mainly anorexia nervosa, and Bulimia nervosa, using data collection pre-pandemic and during the pandemic in the outpatient clinics in Sidra hospital, Qatar.MethodsMedical records of the patients with eating disorders were reviewed for the period between August 2017 and April 2022. Diagnosis of Anorexia Nervosa and Bulimia Nervosa was done using the DSM-V criteria. For the purpose of this study, August 2017 to March 2020 is considered ‘pre-pandemic' and April 2020 to April 2022 is ‘post-pandemic'.The clinical assessment in the pre-pandemic period was carried out face to face in the clinic, while a hybrid model of clinical care that uses telephone consultations and a limited number of patients' physical appointments was adapted during the pandemic period. The number of clinical appointments increased gradually as the number of COVID-19 cases decreased in the country.The study compared the numbers of diagnosed patients with eating disorders between the two mentioned periods and investigated their specific characteristics (including age, gender, and specific type of eating disorder) and associated comorbidities, like depression and anxiety.ResultsIn the pre-pandemic period, 58 adolescents aged between 8–18 years old were assessed and diagnosed with an eating disorder. Out of the 58 diagnosed with an eating disorder, 16 patients were diagnosed with co-morbid depression and 11 patients with anxiety. During the pandemic, 79 adolescents were diagnosed with an eating disorder and 37 out of the 53 were diagnosed with co-morbid depression. The majority of cases were adolescent females above 12 years of age. This study shows a 27% increase in the number of cases diagnosed with anorexia and bulimia nervosa during the pandemic. In addition, there's a rise in the number of associated psychiatric comorbidities, including depression, anxiety, and other conditions like irritability and inattention.ConclusionsThis study showed an increased rate of eating disorders and co-morbid mental health diseases in Qatar during the COVID-19 pandemic. The increase of young people with an eating disorder could be attributed to disruptions of their routines, quarantine, and interruptions of treatment. Our results agree with previous research suggesting that mental health disorders such as depression, anxiety, substance misuse, PTSD, and suicidal tendencies increase in times of economic instability and natural disasters.1 long term impact must be further examined to prevent long term detrimental mental health effects on the young generation and the health care system in Qatar.ReferenceGuerra O, Eboreime E. The impact of economic recessions on depression, anxiety, and trauma-related disorders and illness outcomes—A scoping review. Behavi Sciences. 2021;11(9):119. doi:10.3390/bs11090119","PeriodicalId":22968,"journal":{"name":"The Poster","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77008166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1136/bmjpo-2022-rcpch.66
Emma Parish, Susan Pruden
{"title":"1949 The big welcome – adolescent packs: a project to welcome, engage and work with young people admitted to hospital for acute clinical care","authors":"Emma Parish, Susan Pruden","doi":"10.1136/bmjpo-2022-rcpch.66","DOIUrl":"https://doi.org/10.1136/bmjpo-2022-rcpch.66","url":null,"abstract":"","PeriodicalId":22968,"journal":{"name":"The Poster","volume":"72 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84097311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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