Dataset Information

Using Immediate Response Technology to Gather Electronic Health Data and Promote Telemental Health Among Youth.

ABSTRACT: Introduction:A sizeable number of youth are currently struggling with anxiety, depression, and suicidal thoughts, yet many will not receive treatment. We sought to better understand if immediate response technology (IRT) could be used to gather mental health care data and educate youth on telemental health (TMH) resources. Methods:Using an IRT imbedded within an interactive, media-rich school-based presentation, we gathered mental health history and preferences for TMH resources from 2,789 adolescents with a wide range of demographic and psychological characteristics. Results:More than 80 percent of adolescents satisfied inclusion criteria for survey completion, and responses were statistically comparable across four diverse high school settings. Using Chi-squared analyses, we found that less than 10 percent of adolescents, especially girls and those with high depression/anxiety scores, had previously used TMH resources. After interacting with the IRT, many more (29 percent to 43 percent) expressed willingness to use these resources. Discussion:The IRT system was effective in gathering mental electronic health data, delivering targeted mental health education, and promoting positive attitudes towards TMH among adolescents. Conclusions:IRTs and other non-formalized technologies should be explored as cost-effective, easy-to-implement resources for electronic health data gathering and health care education.

SUBMITTER: Toscos T

PROVIDER: S-EPMC6078147 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature

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Using Immediate Response Technology to Gather Electronic Health Data and Promote Telemental Health Among Youth.

Toscos Tammy T Carpenter Maria M Drouin Michelle M Roebuck Amelia A Howard Abigail A Flanagan Mindy M Kerrigan Connie C

EGEMS (Washington, DC) 20180731 1

<h4>Introduction</h4>A sizeable number of youth are currently struggling with anxiety, depression, and suicidal thoughts, yet many will not receive treatment. We sought to better understand if immediate response technology (IRT) could be used to gather mental health care data and educate youth on telemental health (TMH) resources.<h4>Methods</h4>Using an IRT imbedded within an interactive, media-rich school-based presentation, we gathered mental health history and preferences for TMH resources f ...[more]

PMID: 30094291

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Project description:BackgroundThe widespread availability and cost-effectiveness of new-wave software-based audience response systems (ARSs) have expanded the possibilities of collecting health data from hard-to-reach populations, including youth. However, with all survey methods, biases in the data may exist because of participant nonresponse.ObjectiveThe aims of this study were to (1) examine the extent to which an ARS could be used to gather health information from youths within a large-group school setting and (2) examine individual- and survey-level response biases stemming from this Web-based data collection method.MethodsWe used an ARS to deliver a mental health survey to 3418 youths in 4 high schools in the Midwestern United States. The survey contained demographic questions, depression, anxiety, and suicidality screeners, and questions about their use of offline resources (eg, parents, peers, and counselors) and Web-based resources (ie, telemental health technologies) when they faced stressful life situations. We then examined the response rates for each survey item, focusing on the individual- and survey-level characteristics that related to nonresponse.ResultsOverall, 25.39% (868/3418) of youths answered all 38 survey questions; however, missingness analyses showed that there were some survey structure factors that led to higher rates of nonresponse (eg, questions at the end of survey, sensitive questions, and questions for which precise answers were difficult to provide). There were also some personal characteristics that were associated with nonresponse (eg, not identifying as either male or female, nonwhite ethnicity, and higher levels of depression). Specifically, a multivariate model showed that male students and students who reported their gender as other had significantly higher numbers of missed items compared with female students (B=.30 and B=.47, respectively, P<.001). Similarly, nonwhite race (B=.39, P<.001) and higher depression scores (B=.39, P<.001) were positively related to the number of missing survey responses.ConclusionsAlthough our methodology-focused study showed that it is possible to gather sensitive mental health data from youths in large groups using ARSs, we also suggest that these nonresponse patterns need to be considered and controlled for when using ARSs for gathering population health data.

Project description:BackgroundThe COVID-19 pandemic resulted in a rapid shift from traditional face-to-face care provision towards delivering mental health care remotely through telecommunications, often referred to as telemental health care. However, the manner and extent of telemental health implementation have varied considerably across settings and areas, and substantial barriers are encountered. There is, therefore, a need to identify what works best for service users and staff and establish the key mechanisms for efficient integration into routine care.ObjectiveWe aimed to identify investigations of pre-planned strategies reported in the literature intended to achieve or improve effective and sustained implementation of telemental health approaches (including video calls, telephone calls, text messaging platforms or a combination of any of these approaches with face-to-face care), and to evaluate how different strategies influence implementation outcomes.MethodsA systematic review was conducted, with five databases searched for any relevant literature published between January 2010 and July 2021. Studies were eligible if they took place in specialist mental health services and focused on pre-planned strategies to achieve or improve the delivery of mental health care through remote communication between mental health professionals or between mental health professionals and service users, family members, unpaid carers, or peer supporters. All included studies were quality-assessed. Data were synthesised using the Expert Recommendations for Implementing Change (ERIC) compilation of implementation strategies and the taxonomy of implementation outcomes.ResultsA total of 14 studies were identified as meeting the inclusion criteria from a total of 14,294 records of which 338 were assessed at full text. All ERIC implementation strategies were used by at least one study, the most commonly reported being 'Train and educate stakeholders'. All studies reported using a combination of several implementation strategies, with the mean number of strategies used per study of 3.5 (range 2-6), many of which were reported to result in an improvement in implementation over time. Few studies specifically investigated a single implementation strategy and its associated outcomes, making conclusions regarding the most beneficial strategy difficult to draw.ConclusionsUsing a combination of implementation strategies appears to be a helpful method of supporting the implementation of telemental health. Further research is needed to test the impact of specific implementation strategies on implementation outcomes.

Project description:Urinary incontinence is involuntary leakage of urine and can affect people of all ages. Incidence rises as people age, often because of reduced mobility or conditions affecting the nervous system, such as dementia and stroke. Urinary incontinence can be a distressing condition and can harm a person's physical, financial, social, and emotional well-being. People with urinary incontinence are susceptible to skin irritation, pressure sores, and urinary tract infections. Urinary incontinence is also associated with an increased risk of falls in older adults.This health technology assessment examined the effectiveness of, budget impact of, and patient values and preferences about electronic monitoring systems to assess urinary incontinence for residents of long-term care homes or geriatric hospital inpatients with complex conditions.A clinical evidence review of the published clinical literature was conducted to June 9, 2017. Critical appraisal of the clinical evidence included assessment of risk of bias and the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) Working Group criteria to reflect the certainty of the evidence.We calculated the funding required for an electronic urinary incontinence monitoring system in the first year of implementation (when facilities would buy the systems) and in subsequent years.We interviewed six people with urinary incontinence and two caregivers, who described ways urinary incontinence affected daily life.We included one observational study in the clinical review. Most of the 31 participants in the observational study were female (78%) and required high levels of care, primarily because of cognitive impairment. The quality of evidence for all outcomes was very low owing to potential risk of bias and indirectness. We are consequently uncertain about how electronic monitoring systems affect management of urinary incontinence.For patients living in long-term care homes who are eligible for the technology, we estimated that an electronic monitoring system to assess urinary incontinence would cost $6.4 million in the first year of implementation and $1.6 million in subsequent years.Patients said urinary incontinence reduced their independence and social life and adversely affected their quality of life. Incontinence made them embarrassed and reduced their self-esteem. Several respondents mentioned how expensive supplies to manage incontinence were.The effectiveness of using the electronic monitoring system to assess urinary incontinence is uncertain because of the very low quality of the evidence. Introducing electronic monitoring systems would result in incremental costs, and there would be savings only if the systems substantially reduced incontinence.

Project description:BackgroundDisease surveillance of diabetes among youth has relied mainly upon manual chart review. However, increasingly available structured electronic health record (EHR) data have been shown to yield accurate determinations of diabetes status and type. Validated algorithms to determine date of diabetes diagnosis are lacking. The objective of this work is to validate two EHR-based algorithms to determine date of diagnosis of diabetes.MethodsA rule-based ICD-10 algorithm identified youth with diabetes from structured EHR data over the period of 2009 through 2017 within three children's hospitals that participate in the SEARCH for Diabetes in Youth Study: Cincinnati Children's Hospital, Cincinnati, OH, Seattle Children's Hospital, Seattle, WA, and Children's Hospital Colorado, Denver, CO. Previous research and a multidisciplinary team informed the creation of two algorithms based upon structured EHR data to determine date of diagnosis among diabetes cases. An ICD-code algorithm was defined by the year of occurrence of a second ICD-9 or ICD-10 diabetes code. A multiple-criteria algorithm consisted of the year of first occurrence of any of the following: diabetes-related ICD code, elevated glucose, elevated HbA1c, or diabetes medication. We assessed algorithm performance by percent agreement with a gold standard date of diagnosis determined by chart review.ResultsAmong 3777 cases, both algorithms demonstrated high agreement with true diagnosis year and differed in classification (p = 0.006): 86.5% agreement for the ICD code algorithm and 85.9% agreement for the multiple-criteria algorithm. Agreement was high for both type 1 and type 2 cases for the ICD code algorithm. Performance improved over time.ConclusionsYear of occurrence of the second ICD diabetes-related code in the EHR yields an accurate diagnosis date within these pediatric hospital systems. This may lead to increased efficiency and sustainability of surveillance methods for incidence of diabetes among youth.

Dataset Information

Using Immediate Response Technology to Gather Electronic Health Data and Promote Telemental Health Among Youth.

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Using Immediate Response Technology to Gather Electronic Health Data and Promote Telemental Health Among Youth.

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