Anish K Agarwal, Lauren Southwick, Arthur Pelullo, Haley J McCalpin, Rachel E Gonzales, David A Asch, Cecilia Livesey, Lisa Bellini, Rachel Kishton, Sarah Beck, Raina M Merchant
{"title":"对 2020 至 2023 年医护人员心理健康和数字心理健康平台使用情况的横断面分析","authors":"Anish K Agarwal, Lauren Southwick, Arthur Pelullo, Haley J McCalpin, Rachel E Gonzales, David A Asch, Cecilia Livesey, Lisa Bellini, Rachel Kishton, Sarah Beck, Raina M Merchant","doi":"10.1136/bmjoq-2024-002896","DOIUrl":null,"url":null,"abstract":"Background Healthcare worker (HCW) anxiety and depression worsened during the pandemic, prompting the expansion of digital mental health platforms as potential solutions offering online assessments, access to resources and counselling. The use of these digital engagement tools may reflect tendencies and trends for the mental health needs of HCWs. Objectives This retrospective, cross-sectional study investigated the association between the use of an online mental health platform within a large academic health system and measures of that system’s COVID-19 burden during the first 3 years of the pandemic. Methods The study investigated the use of Cobalt, an online mental health platform, comprising deidentified mental health assessments and utilisation metrics. Cobalt, serves as an online mental health resource broadly available to health system employees, offering online evidence-based tools, coaching, therapy options and asynchronous content (podcasts, articles, videos and more). The analyses use validated mental health assessments (Generalised Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-9 (PHQ-9) and post-traumatic stress disorder (PTSD)) alongside publicly available COVID-19 data. Statistical analyses employed univariate linear regression with Stata SE Statistical Software. Results Between March 2020 and March 2023, 43 308 independent user sessions were created on Cobalt, a majority being anonymous sessions (72%, n=31 151). Mental health assessments, including PHQ-4, PHQ-9, GAD-7 and primary care-PTSD, totalled 9462 over the time period. Risk for self-harm was noted in 17.1% of PHQ-9 assessments. Additionally, 4418 appointments were scheduled with mental health counsellors and clinicians. No significant associations were identified between COVID-19 case burden and Cobalt utilisation or assessment scores. Conclusion Cobalt emerged as an important access point for assessing the collective mental health of the workforce, witnessing increased engagement over time. Notably, the study indicates the nuanced nature of HCW assessments of anxiety, depression and PTSD, with mental health scores reflecting moderate decreases in depression and anxiety but signalling potential increases in PTSD. Tailored resources are imperative, acknowledging varied mental health needs within the healthcare workforce. Ultimately, this investigation lays the groundwork for continued exploration of the impact and effectiveness of digital platforms in supporting HCW mental health. Data are available on reasonable request. Data are available on request with appropriate protocols and permissions.","PeriodicalId":9052,"journal":{"name":"BMJ Open Quality","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cross-sectional analysis of healthcare worker mental health and utilisation of a digital mental health platform from 2020 to 2023\",\"authors\":\"Anish K Agarwal, Lauren Southwick, Arthur Pelullo, Haley J McCalpin, Rachel E Gonzales, David A Asch, Cecilia Livesey, Lisa Bellini, Rachel Kishton, Sarah Beck, Raina M Merchant\",\"doi\":\"10.1136/bmjoq-2024-002896\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background Healthcare worker (HCW) anxiety and depression worsened during the pandemic, prompting the expansion of digital mental health platforms as potential solutions offering online assessments, access to resources and counselling. The use of these digital engagement tools may reflect tendencies and trends for the mental health needs of HCWs. Objectives This retrospective, cross-sectional study investigated the association between the use of an online mental health platform within a large academic health system and measures of that system’s COVID-19 burden during the first 3 years of the pandemic. Methods The study investigated the use of Cobalt, an online mental health platform, comprising deidentified mental health assessments and utilisation metrics. Cobalt, serves as an online mental health resource broadly available to health system employees, offering online evidence-based tools, coaching, therapy options and asynchronous content (podcasts, articles, videos and more). The analyses use validated mental health assessments (Generalised Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-9 (PHQ-9) and post-traumatic stress disorder (PTSD)) alongside publicly available COVID-19 data. Statistical analyses employed univariate linear regression with Stata SE Statistical Software. Results Between March 2020 and March 2023, 43 308 independent user sessions were created on Cobalt, a majority being anonymous sessions (72%, n=31 151). Mental health assessments, including PHQ-4, PHQ-9, GAD-7 and primary care-PTSD, totalled 9462 over the time period. Risk for self-harm was noted in 17.1% of PHQ-9 assessments. Additionally, 4418 appointments were scheduled with mental health counsellors and clinicians. No significant associations were identified between COVID-19 case burden and Cobalt utilisation or assessment scores. Conclusion Cobalt emerged as an important access point for assessing the collective mental health of the workforce, witnessing increased engagement over time. Notably, the study indicates the nuanced nature of HCW assessments of anxiety, depression and PTSD, with mental health scores reflecting moderate decreases in depression and anxiety but signalling potential increases in PTSD. Tailored resources are imperative, acknowledging varied mental health needs within the healthcare workforce. Ultimately, this investigation lays the groundwork for continued exploration of the impact and effectiveness of digital platforms in supporting HCW mental health. Data are available on reasonable request. Data are available on request with appropriate protocols and permissions.\",\"PeriodicalId\":9052,\"journal\":{\"name\":\"BMJ Open Quality\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2024-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMJ Open Quality\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1136/bmjoq-2024-002896\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMJ Open Quality","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1136/bmjoq-2024-002896","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
Cross-sectional analysis of healthcare worker mental health and utilisation of a digital mental health platform from 2020 to 2023
Background Healthcare worker (HCW) anxiety and depression worsened during the pandemic, prompting the expansion of digital mental health platforms as potential solutions offering online assessments, access to resources and counselling. The use of these digital engagement tools may reflect tendencies and trends for the mental health needs of HCWs. Objectives This retrospective, cross-sectional study investigated the association between the use of an online mental health platform within a large academic health system and measures of that system’s COVID-19 burden during the first 3 years of the pandemic. Methods The study investigated the use of Cobalt, an online mental health platform, comprising deidentified mental health assessments and utilisation metrics. Cobalt, serves as an online mental health resource broadly available to health system employees, offering online evidence-based tools, coaching, therapy options and asynchronous content (podcasts, articles, videos and more). The analyses use validated mental health assessments (Generalised Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-9 (PHQ-9) and post-traumatic stress disorder (PTSD)) alongside publicly available COVID-19 data. Statistical analyses employed univariate linear regression with Stata SE Statistical Software. Results Between March 2020 and March 2023, 43 308 independent user sessions were created on Cobalt, a majority being anonymous sessions (72%, n=31 151). Mental health assessments, including PHQ-4, PHQ-9, GAD-7 and primary care-PTSD, totalled 9462 over the time period. Risk for self-harm was noted in 17.1% of PHQ-9 assessments. Additionally, 4418 appointments were scheduled with mental health counsellors and clinicians. No significant associations were identified between COVID-19 case burden and Cobalt utilisation or assessment scores. Conclusion Cobalt emerged as an important access point for assessing the collective mental health of the workforce, witnessing increased engagement over time. Notably, the study indicates the nuanced nature of HCW assessments of anxiety, depression and PTSD, with mental health scores reflecting moderate decreases in depression and anxiety but signalling potential increases in PTSD. Tailored resources are imperative, acknowledging varied mental health needs within the healthcare workforce. Ultimately, this investigation lays the groundwork for continued exploration of the impact and effectiveness of digital platforms in supporting HCW mental health. Data are available on reasonable request. Data are available on request with appropriate protocols and permissions.