ABSTRACT
BACKGROUND: The prevalence of major depressive disorder (MDD) poses significant global health challenges, with available treatments often insufficient in achieving remission for many patients. Digital health technologies, such as SMS text messaging-based cognitive behavioral therapy, offer accessible alternatives but may not reach all individuals. Email communication presents a secure avenue for health communication, yet its effectiveness compared to SMS text messaging in providing mental health support for patients with MDD remains uncertain. OBJECTIVE: This study aims to compare the efficacy of email versus SMS text messaging as delivery platforms for supporting patients with MDD, addressing a critical gap in understanding optimal digital interventions for mental health care. METHODS: A randomized noninferiority pilot trial was conducted, comparing outcomes for patients receiving 6-week daily supportive messages via email with those receiving messages via SMS text message. This duration corresponds to a minimum of 180 days of message delivery. The supportive messages maintained consistent length and structure across both delivery methods. Participants (N=66) were recruited from the Access 24/7 clinic in Edmonton, Alberta, among those who were diagnosed with MDD. The outcomes were measured at baseline and 6 months after enrollment using the Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), and the World Health Organization Well-Being Index (WHO-5). RESULTS: Most of the participants were females (n=43, 65%), aged between 26 and 40 years (n=34, 55%), had high school education (n=35, 58%), employed (n=33, 50%), and single (n=24, 36%). Again, most participants had had no history of any major physical illness (n=56, 85%) and (n=61, 92%) responded "No" to having a history of admission for treatment of mood disorders. There was no statistically significant difference in the mean changes in PHQ-9, GAD-7, and WHO-5 scores between the email and SMS text messaging groups (mean difference, 95% CI: -1.90, 95% CI -6.53 to 2.74; 5.78, 95% CI -1.94 to 13.50; and 11.85, 95% CI -3.81 to 27.51), respectively. Both supportive modalities showed potential in reducing depressive symptoms and improving quality of life. CONCLUSIONS: The study's findings suggest that both email and SMS text messaging interventions have equivalent effectiveness in reducing depression symptoms among individuals with MDD. As digital technology continues to evolve, harnessing the power of multiple digital platforms for mental health interventions can significantly contribute to bridging the existing treatment gaps and improving the overall well-being of individuals with depressive conditions. Further research is needed with a larger sample size to confirm and expand upon these findings. TRIAL REGISTRATION: ClinicalTrials.gov NCT04638231; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8552095/.
Subject(s)
Depressive Disorder, Major , Electronic Mail , Text Messaging , Humans , Depressive Disorder, Major/therapy , Depressive Disorder, Major/psychology , Female , Male , Adult , Middle Aged , Pilot ProjectsABSTRACT
In the Affordable Care Act (ACA) Marketplaces, enrollees must periodically demonstrate their eligibility to receive income-linked health insurance premium subsidies. Marketplaces can verify eligibility using existing records, but only with consumers' consent, which must be renewed at specified times. In a randomized experiment in September 2020, we tested the effect of email nudges reminding consumers to provide consent for verification of their continued eligibility for premium subsidies in California's ACA Marketplace. More than 20,000 households that had applied for subsidies but whose consent for eligibility verification would soon expire were sent one, two, or three emails reminding them to renew consent. Sending three emails increased consent updates by 1.9 percentage points (3.2 percent) and increased receipt of subsidies by 2.0 percentage points (4.0 percent). However, nearly 40 percent of households receiving three emails did not update their consent by the end of the open enrollment period, thus preventing their continued receipt of subsidies. To improve the affordability of Marketplace coverage, new policies and structural changes may be needed to reduce administrative barriers that can inhibit access to subsidies.
Subject(s)
Electronic Mail , Eligibility Determination , Health Insurance Exchanges , Patient Protection and Affordable Care Act , Humans , California , United States , Insurance Coverage/statistics & numerical data , Female , Insurance, Health/statistics & numerical data , Male , AdultABSTRACT
This cohort study investigates the association of demographic characteristics with changes in patient portal messaging after implementation of e-visit billing.
Subject(s)
Computer Security , Humans , Male , Female , Adult , Middle Aged , Electronic Mail/statistics & numerical data , United StatesABSTRACT
BACKGROUND: Patient complaints are a perennial challenge faced by health care institutions globally, requiring extensive time and effort from health care workers. Despite these efforts, patient dissatisfaction remains high. Recent studies on the use of large language models (LLMs) such as the GPT models developed by OpenAI in the health care sector have shown great promise, with the ability to provide more detailed and empathetic responses as compared to physicians. LLMs could potentially be used in responding to patient complaints to improve patient satisfaction and complaint response time. OBJECTIVE: This study aims to evaluate the performance of LLMs in addressing patient complaints received by a tertiary health care institution, with the goal of enhancing patient satisfaction. METHODS: Anonymized patient complaint emails and associated responses from the patient relations department were obtained. ChatGPT-4.0 (OpenAI, Inc) was provided with the same complaint email and tasked to generate a response. The complaints and the respective responses were uploaded onto a web-based questionnaire. Respondents were asked to rate both responses on a 10-point Likert scale for 4 items: appropriateness, completeness, empathy, and satisfaction. Participants were also asked to choose a preferred response at the end of each scenario. RESULTS: There was a total of 188 respondents, of which 115 (61.2%) were health care workers. A majority of the respondents, including both health care and non-health care workers, preferred replies from ChatGPT (n=164, 87.2% to n=183, 97.3%). GPT-4.0 responses were rated higher in all 4 assessed items with all median scores of 8 (IQR 7-9) compared to human responses (appropriateness 5, IQR 3-7; empathy 4, IQR 3-6; quality 5, IQR 3-6; satisfaction 5, IQR 3-6; P<.001) and had higher average word counts as compared to human responses (238 vs 76 words). Regression analyses showed that a higher word count was a statistically significant predictor of higher score in all 4 items, with every 1-word increment resulting in an increase in scores of between 0.015 and 0.019 (all P<.001). However, on subgroup analysis by authorship, this only held true for responses written by patient relations department staff and not those generated by ChatGPT which received consistently high scores irrespective of response length. CONCLUSIONS: This study provides significant evidence supporting the effectiveness of LLMs in resolution of patient complaints. ChatGPT demonstrated superiority in terms of response appropriateness, empathy, quality, and overall satisfaction when compared against actual human responses to patient complaints. Future research can be done to measure the degree of improvement that artificial intelligence generated responses can bring in terms of time savings, cost-effectiveness, patient satisfaction, and stress reduction for the health care system.
Subject(s)
Patient Satisfaction , Humans , Cross-Sectional Studies , Patient Satisfaction/statistics & numerical data , Female , Surveys and Questionnaires , Male , Adult , Internet , Language , Middle Aged , Electronic MailABSTRACT
BACKGROUND: Participant recruitment in rural and hard-to-reach (HTR) populations can present unique challenges. These challenges are further exacerbated by the need for low-cost recruiting, which often leads to use of web-based recruitment methods (eg, email, social media). Despite these challenges, recruitment strategy statistics that support effective enrollment strategies for underserved and HTR populations are underreported. This study highlights how a recruitment strategy that uses email in combination with follow-up, mostly phone calls and email reminders, produced a higher-than-expected enrollment rate that includes a diversity of participants from rural, Appalachian populations in older age brackets and reports recruitment and demographic statistics within a subset of HTR populations. OBJECTIVE: This study aims to provide evidence that a recruitment strategy that uses a combination of email, telephonic, and follow-up recruitment strategies increases recruitment rates in various HTR populations, specifically in rural, older, and Appalachian populations. METHODS: We evaluated the overall enrollment rate of 1 recruitment arm of a larger study that aims to understand the relationship between genetics and substance use disorders. We evaluated the enrolled population's characteristics to determine recruitment success of a combined email and follow-up recruitment strategy, and the enrollment rate of HTR populations. These characteristics included (1) enrollment rate before versus after follow-up; (2) zip code and county of enrollee to determine rural or urban and Appalachian status; (3) age to verify recruitment in all eligible age brackets; and (4) sex distribution among age brackets and rural or urban status. RESULTS: The email and follow-up arm of the study had a 17.4% enrollment rate. Of the enrolled participants, 76.3% (4602/6030) lived in rural counties and 23.7% (1428/6030) lived in urban counties in Pennsylvania. In addition, of patients enrolled, 98.7% (5956/6030) were from Appalachian counties and 1.3% (76/6030) were from non-Appalachian counties. Patients from rural Appalachia made up 76.2% (4603/6030) of the total rural population. Enrolled patients represented all eligible age brackets from ages 20 to 75 years, with the 60-70 years age bracket having the most enrollees. Females made up 72.5% (4371/6030) of the enrolled population and males made up 27.5% (1659/6030) of the population. CONCLUSIONS: Results indicate that a web-based recruitment method with participant follow-up, such as a phone call and email follow-up, increases enrollment numbers more than web-based methods alone for rural, Appalachian, and older populations. Adding a humanizing component, such as a live person phone call, may be a key element needed to establish trust and encourage patients from underserved and rural areas to enroll in studies via web-based recruitment methods. Supporting statistics on this recruitment strategy should help researchers identify whether this strategy may be useful in future studies and HTR populations.
Subject(s)
Artificial Intelligence , Patient Selection , Rural Population , Humans , Appalachian Region , Male , Female , Rural Population/statistics & numerical data , Middle Aged , Adult , Aged , Follow-Up Studies , Young Adult , Electronic Mail/statistics & numerical dataABSTRACT
BACKGROUND: Recruitment for clinical trials and large-scale studies is challenging, especially for patients with complex conditions like chronic pain. Email recruitment has the potential to increase efficiency, to reduce costs, and to improve access for underrepresented patient populations. The objective of this study was to examine the effectiveness, efficiency, and equitability of email versus postal mail recruitment for the Learning to Apply Mindfulness to Pain (LAMP) study, a three-site clinical trial of mindfulness-based interventions for chronic pain. METHODS: Patients with chronic pain diagnoses were recruited from three United States Department of Veterans Affairs (VA) facilities using the VA electronic health record (EHR). Recruitment materials were sent using either postal mail (n = 7986) or email (n = 19,333). Patients in the email recruitment group were also mailed introductory postcards before any emails. Mailing addresses and email addresses were obtained from the EHR. Effectiveness was measured by the response rate of patients who logged into the secure LAMP study website. Efficiency was measured by the number of days from when the recruitment materials were sent to when patients logged into the LAMP portal as well as the estimated costs of each recruitment approach. To assess equitability, we examined whether email recruitment was less effective for underrepresented populations, based on demographic information from the EHR. RESULTS: Effectiveness-unadjusted response rates were greater for email versus postal-mail recruitment (18.9% versus 6.3%), and adjusted response rates were over three times greater for email recruitment (RR = 3.5, 95% CI 3.1-3.8) based on a multivariable analysis controlling for age, gender, race, ethnicity, rurality, and site. Efficiency-email recruitment had a significantly lower mean response time (1 day versus 8 days) and a lower cost. Equity-email recruitment led to higher response rates for all subpopulations, including older, non-White, Hispanic, rural, and female Veterans. CONCLUSIONS: Email recruitment is an effective, efficient, and equitable way to recruit VA patients to large-scale, chronic pain clinical trials. TRIAL REGISTRATION: Clinical Trial Registration Number: NCT04526158. Patient enrollment began on December 4, 2020.
Subject(s)
Chronic Pain , Electronic Mail , Patient Selection , Humans , Chronic Pain/therapy , Chronic Pain/diagnosis , Female , Male , Middle Aged , United States , Aged , United States Department of Veterans Affairs , Electronic Health Records , Postal Service , AdultSubject(s)
Electronic Mail , Research Personnel , Science , Social Media , Thinking , Humans , Research Personnel/psychology , Time Factors , Electronic Mail/trends , Social Media/trendsABSTRACT
PURPOSE: This study evaluates the impact of integrating a novel, in-house developed electronic Patient-Reported Outcome Measures (ePROMs) tool with a commercial Oncology Information System (OIS) on patient response rates and potential biases in real-world data science applications. MATERIALS AND METHODS: We designed an ePROMs tool using the NodeJS web application framework, automatically sending e-mail questionnaires to patients based on their treatment schedules in the OIS. The tool is used across various treatment sites to collect PROMs data in a real-world setting. This research examined the effects of increasing automation levels on both recruitment and response rates, as well as potential biases across different patient cohorts. Automation was implemented in three escalating levels, from telephone reminders for missing reports to minimal intervention from study nurses. RESULTS: From August 2020 to December 2023, 1,944 patients participated in the PROMs study. Our findings indicate that automating the workflows substantially reduced the patient management workload. However, higher levels of automation led to lower response rates, particularly in collecting late-phase symptoms in breast and head-and-neck cancer cohorts. Additionally, email-based PROMs introduced an age bias when recruiting new patients for the ePROMs study. Nevertheless, age was not a significant predictor of early dropout or missing symptom reports among patients participating. Notably, increased automation was significantly correlated with lower response rates in breast (p = 0.026) and head-and-neck cancer patients (p < 0.001). CONCLUSION: Integrating ePROMs within the OIS can significantly reduce workload and personnel resources. However, this efficiency may compromise patient responses in certain groups. A balance must be achieved between workload, resource allocation, and the sensitivity needed to detect clinically significant effects. This may necessitate customized automation levels tailored to specific cancer groups, highlighting a fundamental trade-off between operational efficiency and data quality.
Subject(s)
Electronic Mail , Patient Reported Outcome Measures , Radiation Oncology , Humans , Female , Male , Middle Aged , Aged , Automation , Surveys and Questionnaires , Bias , Adult , Neoplasms/radiotherapy , Workflow , WorkloadABSTRACT
PURPOSE/OBJECTIVES: Communication of practice changes to frontline nurses across an organization can be difficult. Frequent daily communication to all nursing staff can be ineffective and lead to email fatigue and information overload. The purpose of this article is to further describe the communication intervention developed to disseminate practice changes and the critical modifications made over time to ensure its continued success and sustainability. DESCRIPTION OF THE PROJECT/PROGRAM: In 2019, this team from a multisite institution developed a monthly email correspondence, called the Evidence-Based Practice Update, sent to local leaders to disseminate important policy and practice updates and reminders to more than 3400 nurses. This strategy was initially successful in reaching the nurses yet lacked a method to ensure accountability that each nurse has read the content. A quick response code was added to track monthly readership, and clinical nurse specialists were leveraged to ensure practice changes reached, reviewed, and understood by nurses across the institution. OUTCOME: Metrics were tracked for quick response code scans and demonstrated an increase in readership over time. By combining various alerts into the single correspondence, fewer daily notifications to staff were sent. The EBP Update email dissemination structure involving local leaders was well received. CONCLUSION: This article describes how a standardized communication strategy coupled with thoughtful leadership engagement improved uptake of important practice information by nurses across a vast institution.
Subject(s)
Communication , Humans , Nurse Clinicians , Evidence-Based Nursing , Electronic Mail , Nursing Evaluation Research , Information Dissemination , LeadershipABSTRACT
PURPOSE: Radiology faculty across various specialties have been reported to receive an average of 20.7 invitations to submit manuscripts to bogus journals and 4.1 invitations to speak at unsuitable events over a two-week span. Radiology trainees also receive a fair number of unsolicited invitations from unknown senders to submit manuscripts and speak at meetings. Trainees can be more vulnerable to predatory invitations due to potential naivety. We aimed to determine the prevalence of these spam invitations received by radiology trainees. MATERIAL AND METHODS: The designed survey for evaluating the experience of radiology trainees regarding phishing scams of predatory publications and conferences was sent to radiology residency and neuroradiology fellowship program leadership to redistribute amongst their trainees, and was advertised on social media platforms. The survey was first sent out on September 28, 2023, and was closed two weeks later October 12, 2023. Spearman's correlation, univariable and multivariable linear regression analyses were performed. RESULTS: Our study included 151 respondents who completed the survey. Of the survey respondents, 53 % reported receiving unsolicited emails from predatory publications (mean = 6.76 ± 7.29), and 32 % reported receiving emails from fraudulent conferences (mean = 5.61 ± 5.77). Significant positive correlation was observed between number of unsolicited email invitations with number of PubMed indexed publications, number as corresponding author, number in open access journals and number of abstract presentations. CONCLUSIONS: Trainees in radiology receive many unsolicited invitations to publish papers as well as to present at meetings that are not accredited. This could lead to wasted time and financial resources for unsuspecting trainees.
Subject(s)
Congresses as Topic , Internship and Residency , Radiology , Radiology/education , Humans , Surveys and Questionnaires , Publishing/statistics & numerical data , Electronic Mail , Fraud , Female , Male , Periodicals as TopicABSTRACT
Within teletherapy, email interventions have been studied scarcely. For this reason, this exploratory study aims to characterize the assistance provided by email in a university telepsychology service and to compare the data with the assistance provided by telephone in the same service and period. For this purpose, the records of 81 users assisted via email during the COVID-19 pandemic lockdown in Spain were analyzed. The data were compared with those of the 338 users assisted by telephone in the same period. Despite its many limitations, results indicate high satisfaction with the email modality. Users express that they prefer a preference for using email when they do not feel safe in other ways. We found a lot of variation between the number of emails exchanged and the days that each case was active. Additionally, differences were found with telephone users in aspects such as age (email users being younger) and in a depression screening (email users scoring more positively). This study concludes on the high potential of this channel for the application of certain techniques (e.g., psychoeducation) or for people with certain characteristics.
Subject(s)
COVID-19 , Electronic Mail , Mental Health Teletherapy , Program Evaluation , Quarantine , Adolescent , Adult , Female , Humans , Male , COVID-19/epidemiology , COVID-19/prevention & control , Depression/psychology , Follow-Up Studies , Mental Health Teletherapy/methods , Mental Health Teletherapy/standards , Mental Health Teletherapy/statistics & numerical data , Patient Satisfaction/statistics & numerical data , Psychology/methods , Psychology/standards , Spain/epidemiology , Telephone , UniversitiesABSTRACT
The present systematic review aims to identify electronic interventions for addressing substance use and understand their effectiveness in primary care settings. A systematic search was carried out in the Web of Science, PubMed/MEDLINE, Scopus, and Cochrane Library. The search included the keywords "electronic intervention", "substance use", "primary care" and synonyms. To determine the quality and recommendation of the analyzed interventions, the efficacy results reported by the studies were considered, as well as the Mixed Methods Appraisal Tool (MMAT) assessment and the GRADE Evidence Assessment. Twenty-one electronic interventions in Primary Care were identified: internet, mobile or tablet applications, text messages, emails, automated telephone calls, or electronic self-reports. These interventions had diverse components, incorporating theories that have proven effective in face-to-face interventions as their theoretical frameworks. Some of them were complementary to in-person treatment, while others replaced it. Six interventions (28.5 %) displayed high quality: HealthCall, AB-CASI, Quit Genius, eCHECKUP-TOGO, CBI, and TES. Another nine interventions (42.8 %) were found to have moderate-high quality: Alcohol y Salud, IVR-BI, Program of Wallace et al., Let's Talk About Smoking, SMSalud, ESCAPE, AAC-ASPIRE, iQuit, and Programa VIH. One intervention (4.7 %) had moderate-low quality: Vive sin tabaco ¡Decídete! The remaining five interventions (23.8 %) were found to have very low quality: Connection to health, cSBI, Teen Well Check, the program of Helzer et al. (2008), and Down your drink. The programs with the highest recommendation for addressing alcohol-related issues are HealthCall and AB-CASI; for tobacco use, it is Quit Genius; for cannabis use, it is eCHECKUP-TOGO; for addressing both legal and illegal substances, it is CBI and TES. Finally, for specific illicit drug use, the only recommended program is CBI. This last intervention, CBI, is of the highest quality and, therefore, can be considered a model intervention for dissemination in the primary care setting.
Subject(s)
Primary Health Care , Substance-Related Disorders , Humans , Substance-Related Disorders/therapy , Text Messaging , Telemedicine , Internet , Mobile Applications , Electronic MailABSTRACT
This study investigated the roles of phishing knowledge, cue utilization, and decision styles in contributing to phishing email detection. Participants (N = 145) completed an online email sorting task, and measures of phishing knowledge, email decision styles, cue utilization, and email security awareness. Cue utilization was the only factor that uniquely predicted the capacity to discriminate phishing from genuine emails. Phishing knowledge was associated with greater phishing detection and a bias towards classifying all emails as phishing. A preference for intuitive decision making predicted lower detection of phishing emails, driven by a greater tendency to classify emails as genuine. These findings support the proposition that cue utilization is a distinct cognitive process that enables expert performance. The outcomes indicate that, in addition to increasing phishing knowledge and developing safe behavioral patterns, anti-phishing training needs to provide opportunities for trainees to develop meaningful cue associations.
Subject(s)
Cues , Decision Making , Electronic Mail , Humans , Male , Female , Adult , Young Adult , Task Performance and Analysis , Adolescent , Knowledge , AwarenessABSTRACT
IMPORTANCE: Healthcare personnel (HCP) are important messengers for promoting vaccines, for both adults and children. Our investigation describes perceptions of fully vaccinated HCP about COVID-19 vaccine for themselves and primary series for their children. OBJECTIVE: To determine associations between sociodemographic, employment characteristics and perceptions of COVID-19 vaccines among HCP overall and the subset of HCP with children, who were all mandated to receive a COVID-19 vaccine, in a large US metropolitan region. DESIGN: Cross-sectional survey of fully vaccinated HCP from a large integrated health system. SETTING: Participants were electronically enrolled within a multi-site NYS healthcare system from December 21, 2021, to January 21, 2022. PARTICIPANTS: Of 78,000 employees, approximately one-third accessed promotional emails; 6,537 employees started surveys and 4165 completed them. Immunocompromised HCP (self-reported) were excluded. EXPOSURE(S) (FOR OBSERVATIONAL STUDIES): We conducted a survey with measures including demographic variables, employment history, booster status, child vaccination status; vaccine recommendation, confidence, and knowledge. MAIN OUTCOME(S) AND MEASURES: The primary outcome was COVID-19 vaccine hesitancy for all dose types - primary series or booster doses - among HCP. RESULTS: Findings from 4,165 completed surveys indicated that almost 17.2 % of all HCP, including administrative and clinical staff, were hesitant or unsure about receiving a COVID-19 vaccine booster, despite the NYS recommendation to do so. Depending on age group, between 20 % and 40 % of HCP were hesitant about having their children vaccinated for COVID-19, regardless of clinical versus non-clinical duties. In multivariable regression analyses, lack of booster dose, unvaccinated children, females, income less than $50,000, and residence in Manhattan remained significantly associated with vaccine hesitancy. CONCLUSIONS AND RELEVANCE: Despite mandated COVID-19 vaccination, a substantial proportion of HCP remained vaccine hesitant towards adult booster doses and pediatric COVID-19 vaccination. While provider recommendation has been the mainstay of combatting COVID-19 vaccine hesitancy, a gap exists between HCP-despite clinical or administrative status-and the ability to communicate the need for vaccination in a healthcare setting. While previous studies describe the HCP vaccine mandate as a positive force to overcome vaccine hesitancy, we have found that despite a mandate, there is still substantial COVID-19 vaccine hesitancy, misinformation, and reluctance to vaccinate children.
Subject(s)
COVID-19 Vaccines , COVID-19 , Immunization, Secondary , Adult , Female , Humans , Child , COVID-19/epidemiology , COVID-19/prevention & control , Cross-Sectional Studies , Electronic Mail , Health Personnel , VaccinationABSTRACT
Email etiquette is an important skill, especially in professional settings. Research demonstrates that undergraduate students follow email rules when given written instructions plus an example. The purpose of the present study was to evaluate the effects of computer-based email instruction on undergraduate students' email etiquette and to assess the social validity of that instruction. The email instruction package was delivered through an online learning management system and consisted of written instructions plus a model, a quiz, and quiz feedback. We measured email etiquette by scoring emails from course assignments using a checklist. The instruction package produced a replicated increase in mean email checklist scores across two sections of introductory psychology, and checklist scores were elevated when participants sent emails in a novel context. The results of the social-validity assessments suggest that the goals were important, the procedures were acceptable, and there were meaningful improvements in email etiquette for some participants.
Subject(s)
Computer-Assisted Instruction , Electronic Mail , Students , Humans , Students/psychology , Male , Female , Computer-Assisted Instruction/methods , Young Adult , UniversitiesABSTRACT
BACKGROUND: There is a great need for evidence-based antiracism interventions targeting mental health clinicians to help mitigate mental health disparities in racially and ethnically minoritized groups. OBJECTIVE: This study provides an exploratory analysis of mental health clinicians' perspectives on the acceptability of a web-based antiracism intervention. METHODS: Mental health clinicians were recruited from a single academic medical center through outreach emails. Data were collected through individual 30-minute semistructured remote video interviews with participants, then recorded, transcribed, and analyzed using content analysis. RESULTS: A total of 12 mental health clinicians completed the study; 10 out of 12 (83%) were female candidates. Over half (7/12, 58%) of the respondents desired more robust antiracism training in mental health care. Regarding the web-based antiracism intervention, (8/12, 67%) enjoyed the digitally delivered demo module, (7/12, 58%) of respondents suggested web-based content would be further enhanced with the addition of in-person or online group components. CONCLUSIONS: Our results suggest a strong need for additional antiracist training for mental health clinicians. Overall, participants responded favorably to novel web-based delivery methods for an antiracism intervention. These findings provide important support for future development and pilot testing of a large-scale digitally enhanced antiracist curriculum targeting mental health clinicians.
Subject(s)
Antiracism , Mental Health , Humans , Female , Male , Academic Medical Centers , Curriculum , Electronic MailABSTRACT
INTRODUCTION: Multiple modalities and frequencies of contact are needed to maximize recruitment in many public health surveys. The purpose of this analysis is to characterize respondents to a statewide SARS-CoV-2 testing study whose participation followed either postcard, phone outreach or electronic means of invitation. In addition, we examine how participant characteristics differ based upon the number of contacts needed to elicit participation. METHODS: This is a cross-sectional analysis of survey data collected from participants who were randomly selected to represent Indiana residents and were invited to be tested for Covid-19 in April 2020. Participants received invitations via postcard, text/emails, and/or robocalls/texts based upon available contact information. The modality, and frequency of contacts, that prompted participation was determined by when the notification was sent and when the participant responded and subsequently registered to participate in the study. Chi square analyses were used to determine differences between groups and significant findings were analyzed using multinomial logistic regression. RESULTS: Respondents included 3,658 individuals and were stratified by postcards (7.9%), text/emails (26.5%), and robocalls/text (65.7%) with 19.7% registering after 1 contact, 47.9% after 2 contacts, and 32.4% after 3 contacts encouraging participation. Females made up 54.6% of the sample and responded at a higher rate for postcards (8.2% vs. 7.5%) and text/emails (28.1 vs. 24.6%) as compared to males (χ2 = 7.43, p = 0.025). Compared to males, females responded at a higher percentage after 1 contact (21.4 vs. 17.9%, χ2 = 7.6, p = 0.023). Those over 60 years responded most often after 2 contacts (χ2 = 27.5, p < 0.001) when compared to others at younger age groups. In regression analysis, participant sex (p = 0.036) age (p = 0.005), educational attainment (p = < 0.0001), and being motivated by "free testing" (p = 0.036) were correlated with participation in the prevalence study. DISCUSSION: Researchers should be aware that the modality of contact as well as the number of prompts used could influence differential participation in public health studies. Our findings can inform researchers developing studies that rely on selective participation by study subjects. We explore how to increase participation within targeted demographic groups using specific modalities and examining frequency of contact.
Subject(s)
COVID-19 , Humans , Male , Female , COVID-19/epidemiology , Cross-Sectional Studies , Adult , Middle Aged , Indiana/epidemiology , Young Adult , Adolescent , Aged , SARS-CoV-2 , Prevalence , Telephone , Electronic Mail/statistics & numerical data , Text Messaging/statistics & numerical data , Surveys and Questionnaires , COVID-19 Testing/statistics & numerical data , Contact Tracing/statistics & numerical data , Postal Service , Patient SelectionABSTRACT
PURPOSE: To evaluate trends associated with email communication from potentially predatory publishers to faculty in ophthalmology. DESIGN: Cross-sectional study METHODS: Ophthalmologists (n = 14) from various subspecialties and institutions were recruited to participate. Participants identified unsolicited emails that they had received originating from publishers in May 2021. Information collected included details on email contents and publisher organizations. Trends in communications from predatory publishers were evaluated. RESULTS: Over a 30-day study period, a total of 1813 emails were received from 383 unique publishers and 696 unique journals, with a mean (SD) of 4.73 (2.46) emails received per day per participant. Of the 1813 emails identified, 242 (13%) emails were invitations to conferences, whereas 1440 (80%) were solicitations for article submissions to open-access, pay-to-publish journals. A total of 522 (29.0%) emails were related to ophthalmology, and reference to a prior publication of the participant occurred in 262 emails (14%). Of the 696 unique journals identified, 174 (25%) journals were indexed on PubMed and 426 (61%) were listed on Beall's list. When comparing journals that were listed on PubMed vs those that were not, PubMed indexed journals had a higher impact factor (2.1 vs 1.5, P = .002), were less likely to use "greetings" (76% vs 91%, P < .001), had fewer spelling/grammar errors (40% vs 51%, P = .01), and were less likely to offer rapid publication (16% vs 25%, P = .02). CONCLUSIONS: Unsolicited requests to publish occur frequently and may diminish the quality of the scientific literature. We encourage individuals in ophthalmology to be aware of these trends in predatory publishing.
Subject(s)
Electronic Mail , Ophthalmology , Periodicals as Topic , Cross-Sectional Studies , Humans , Periodicals as Topic/standards , PublishingABSTRACT
INTRODUCTION: Online e-cigarette retailers use e-mail communications to promote products directly to consumers, which may facilitate e-cigarette use. Little is known about the content of these e-mails. As such, this study collected e-mails from online e-cigarette retailers in California to conduct a content analysis. AIMS AND METHODS: This study included 13 online e-cigarette retailers in California using Yelp. To be included in the study, e-cigarette retailers needed a live website, physical retail location (ie, vape shop), and e-cigarettes available for purchase online. The research team entered each website and signed up (if possible) for an e-mail newsletter. Data were collected from the Gmail Application Programming Interface over a 1-year study period (November 1, 2021-November 1, 2022). Members of the research team coded e-mails for the presence of e-cigarettes, other products, flavors, marketing categories, and promotional activities, among other variables. RESULTS: Seven hundred and forty-nine promotional e-mails (2.1 avg/day) were received over the 1-year study period. Second-generation e-cigarettes (nâ =â 581, 77.6%) were the most observed product in e-mails followed by disposable e-cigarettes (nâ =â 391, 52.2%). The most common flavor profile was fruit or sweet or liquor (nâ =â 424, 56.6%). E-mails included links to social media pages (nâ =â 366, 48.9%). Online coupons were found in 53.1% (nâ =â 398) of the e-mails. Age warnings were displayed in 8.0% (nâ =â 60) of the e-mails. CONCLUSIONS: E-cigarette retailers' e-mails promoted new products, flavors, and contained promotional discounts. Future research should examine the impact of exposure to such e-mails on e-cigarette-related attitudes and behaviors. IMPLICATIONS: Findings from this study may help inform prevention programs and interventions focused on increasing tobacco-related digital media literacy (ie, evaluate tobacco advertising messages on digital media) among gender and ethnic minorities. Future research should examine if exposure to e-mail marketing is causally linked with e-cigarette use among gender and ethnic minorities.