A Mentor-Led Text-Messaging Intervention Increases Intake of Fruits and Vegetables and Goal Setting for Healthier Dietary Consumption among Rural Adolescents in Kentucky and North Carolina, 2017

Text-messaging interventions hold promise for successful weight loss interventions. However, there is limited research on text-messaging interventions to improve dietary intake among rural adolescents, who are at greater risk for obesity and related risk factors. The goal of this study was to test an eight-week, mentor-led text-messaging intervention among 14–16-year-old rural adolescents: the “Go Big and Bring It Home� Project to improve fruit and vegetable and healthy beverage intake. Methods and Materials—Eight rural high schools in eastern Kentucky and eastern North Carolina participated (n = 4 were randomized as intervention schools and n = 4 were randomized as control schools). Adolescents were recruited to participate in the eight-week text-messaging intervention. The text messages were primarily affective messages, and included a weekly challenge related to consuming fruits, vegetables, or healthy/low-calorie beverages. Undergraduate nutrition students sent text messages on Tuesday and Saturday every week over the eight-week period via the “Group Me� mobile application. Delayed controls received no information or text messages during the eight-week intervention. Fruit and vegetable intake was measured with the National Cancer Institute Fruit and Vegetable screener and beverage intake was assessed using the Beverage Questionnaire-10 (BEVQ-10). Intention-to-treat analyses were conducted among all those that completed the baseline and post-intervention survey (n = 277 intervention students and n = 134 delayed control students). All linear regression models were adjusted for race and were clustered on school to control for intraclass correlation. Results—In adjusted analyses, there was a statistically significant positive intervention effect on the primary outcome of fruit and vegetable servings/day with a mean difference between intervention and control participants of 1.28 servings/day (95% Confidence Interval 1.11, 1.48). There was no intervention effect on beverage intake. There was a statistically significant increase in the odds of goal setting for healthier dietary behaviors among intervention participants relative to controls. Conclusion—An eight-week text-messaging intervention led to increases in self-reported fruit and vegetable intake and improvements in goal setting for healthier dietary behaviors. Due to the use of undergraduate students to deliver the messages, and use of an existing web application, this text-messaging intervention can be sustained in underserved, rural environments. Thus there is potential for significant reach and public health impact to improve dietary patterns

Recruitment Strategies for Caregivers of Children with Mental Health Problems

PURPOSE: The aim of this study was to describe strategies for recruiting participants into an intervention study that focused on improving problem-solving skills in caregivers of children with mental health problems. BACKGROUND: Caregivers of children with mental health problems report feeling physically and psychologically overwhelmed and have high rates of depression because of the demands of caregiving. Research on the needs of these caregivers and interventions to ameliorate their stress is needed. However, recruiting this population can be particularly difficult because of the stigma of mental illness. Available literature on recruitment of caregivers of persons with physical illness cannot be transferred to caregivers of children with mental health problems because of the different caregiving situations. There is a need to identify effective recruitment strategies to reduce cost and answer research questions. Clinical nurse specialists have the skills to facilitate the recruitment of research participants. We revised and expanded health system referrals, community outreach, and recruiting advertisement (ads). When these strategies did not increase recruitment, radio ads were used. The Andersen's Behavioral Model of Health Services Utilization was selected as a guiding framework. OUTCOME: Radio ads were the most effective strategy for recruiting caregivers of children with mental health problems for this study. CONCLUSION: Recruitment was ultimately successful because we were flexible and made decisions consistent with the Andersen's Behavioral Model of Health Services Utilization. IMPLICATIONS: Clinical nurse specialists who study this population of caregivers should really consider the use of radio ads and systematically track which recruitment strategies lead to the greatest number of participants screened, eligible, and enrolled into studies

Evaluating and Improving the Usability of a Mhealth Platform to Assess Postoperative Dental Pain

OBJECTIVES: The use of interactive mobile health (mHealth) applications to monitor patient-reported postoperative pain outcomes is an emerging area in dentistry that requires further exploration. This study aimed to evaluate and improve the usability of an existing mHealth application. MATERIALS AND METHODS: The usability of the application was assessed iteratively using a 3-phase approach, including a rapid cognitive walkthrough (Phase I), lab-based usability testing (Phase II), and RESULTS: The rapid cognitive walkthrough identified 23 potential issues that could negatively impact user experience, with the majority classified as system issues. The lab-based usability testing yielded 141 usability issues.; 43% encountered by patients and 57% by dentists. Usability problems encountered during pilot testing included undelivered messages due to mobile phone carrier and service-related issues, errors in patients\u27 phone number data entry, and problems in provider training. DISCUSSION: Through collaborative and iterative work with the vendor, usability issues were addressed before launching a trial to assess its efficacy. CONCLUSION: The usability of the mHealth application for postoperative dental pain was remarkably improved by the iterative analysis and interdisciplinary collaboration

Evaluating the Impact of an mHealth Platform for Managing Acute Postoperative Dental Pain: Randomized Controlled Trial

BACKGROUND: Postoperative dental pain is pervasive and can affect a patient\u27s quality of life. Adopting a patient-centric approach to pain management involves having contemporaneous information about the patient\u27s experience of pain and using it to personalize care. OBJECTIVE: In this study, we evaluated the use of a mobile health (mHealth) platform to collect pain-related patient-reported outcomes over 7 days after the patients underwent pain-inducing dental procedures; we then relayed the information to the dentist and determined its impact on the patient\u27s pain experience. METHODS: The study used a cluster-randomized experimental study design with an intervention arm where patients were prompted to complete a series of questions relating to their pain experience after receiving automated text notifications on their smartphone on days 1, 3, 5, and 7, with the resulting information fed back to dentists, and a control arm where patients received usual care. Providers were randomized, and patients subsequently assumed the enrollment status of their providers. Providers or their staff identified eligible patients and invited them to participate in the study. Provider interviews and surveys were conducted to evaluate acceptance of the mHealth platform. RESULTS: A total of 42 providers and 1525 patients participated. For the primary outcome (pain intensity on a 1 to 10 scale, with 10 being the most painful), intervention group patients reported an average pain intensity of 4.8 (SD 2.6), while those in the control group reported an average pain intensity of 4.7 (SD 2.8). These differences were not significant. There were also no significant differences in secondary outcomes, including pain interference with activity or sleep, patient satisfaction with pain management, or opioid prescribing. Patient surveys revealed reluctance to use the app was mostly due to technological challenges, data privacy concerns, and a preference for phone calls over texting. Providers had high satisfaction with the app and suggested integrating additional features, such as an in-system camera for patients to upload pictures and videos of the procedural site, and integration with the electronic health record system. CONCLUSIONS: While the mHealth platform did not have a significant impact on acute postoperative pain experience, patients and providers indicated improvement in patient-provider communication, patient-provider relationship, postoperative complication management, and ability to manage pain medication prescribing. Expanded collaboration between mHealth developers and frontline health care providers can facilitate the applicability of these platforms, further help improve its integration with the normal clinic workflow, and assist in moving toward a more patient-centric approach to pain management

The Grizzly, January 27, 2011

Bonner Leaders Host Hunger Banquet • UC Alumnus Discusses Alternative Careers in Science • Students Find Internships While Studying Abroad • Berman Museum Opens Two New Exhibitions • MLK Celebrations • Student Experiences Australian Flood • Students Travel to Spain for New Experiences • Internship Profile: Ananda Holton • Diversity Through Monologues • Opinion: Scheduling Classes is Too Difficult; Tragedy in Arizona: The Work of a Madman; Snapshots of London From my Time Studying Abroad • Swimming Training Trip to Florida Proves Rewardinghttps://digitalcommons.ursinus.edu/grizzlynews/1827/thumbnail.jp

Evaluating and improving the usability of a mHealth platform to assess postoperative dental pain

DATA AVAILABILITY : The data underlying this article will be shared on reasonable request to the corresponding author.OBJECTIVES : The use of interactive mobile health (mHealth) applications to monitor patient-reported postoperative pain outcomes is an emerging area in dentistry that requires further exploration. This study aimed to evaluate and improve the usability of an existing mHealth application. MATERIALS AND METHODS : The usability of the application was assessed iteratively using a 3-phase approach, including a rapid cognitive walkthrough (Phase I), lab-based usability testing (Phase II), and in situ pilot testing (Phase III). The study team conducted Phase I, while providers and patients participated in Phase II and III. RESULTS : The rapid cognitive walkthrough identified 23 potential issues that could negatively impact user experience, with the majority classified as system issues. The lab-based usability testing yielded 141 usability issues.; 43% encountered by patients and 57% by dentists. Usability problems encountered during pilot testing included undelivered messages due to mobile phone carrier and service-related issues, errors in patients’ phone number data entry, and problems in provider training. DISCUSSION : Through collaborative and iterative work with the vendor, usability issues were addressed before launching a trial to assess its efficacy. CONCLUSION : The usability of the mHealth application for postoperative dental pain was remarkably improved by the iterative analysis and interdisciplinary collaboration.LAY SUMMARY : In this research study, we wanted to understand how much pain patients were feeling after getting dental treatment. To figure this out, we used a mobile phone app where patients could tell us how much pain they had. Before starting this main study on a large group of patients, we wanted to make sure the app was easy to use. We tried different ways to test the app and make it better. We asked the study team, dentists, and patients for feedback. Dentists and patients talked about problems with the app and how hard it was to use. When we did a test run at real dental places, we found more issues like messages not getting through, mistakes when entering phone numbers, problems with training, and registration issues. The main thing we learned is that it is important to check if an app is easy to use in different ways and to include feedback from dentists and patients. We worked closely with the company that made the app to fix these problems before starting the main study to see if the app could help patients with their dental pain after surgery.Agency for Healthcare Research and Quality.https://academic.oup.com/jamiaopenhj2024Dental Management SciencesSDG-03:Good heatlh and well-bein

Caries risk documentation and prevention : eMeasures for dental electronic health records

BACKGROUND: Longitudinal patient level dataavailable in the electronic health record (EHR)allows for the development, implementation, and validations of dental quality measures (eMeasures). Objective We report the feasibility and validity of implementing two eMeasures. The eMeasures determined the proportion of patients receiving a caries risk assessment (eCRA) and corresponding appropriate risk-based preventative treatments for patients at elevated risk of caries (appropriateness of care [eAoC]) in two academic institutions and one accountable care organization, in the 2019 reporting year. METHODS: Both eMeasures define the numerator and denominator beginning at the patient level, populations’ specifications, and validated the automated queries. For eCRA, patients who completed a comprehensive or periodic oral evaluation formed the denominator, and patients of any age who received a CRA formed the numerator. The eAoC evaluated the proportion of patients at elevated caries risk who received the corresponding appropriate risk-based preventative treatments. RESULTS: EHR automated queries identified in three sites 269,536 patients who met the inclusion criteria for receiving a CRA. The overall proportion of patients who received a CRA was 94.4% (eCRA). In eAoC, patients at elevated caries risk levels (moderate, high, or extreme) received fluoride preventive treatment ranging from 56 to 93.8%. For patients at high and extreme risk, antimicrobials were prescribed more frequently site 3 (80.6%) than sites 2 (16.7%) and 1 (2.9%). CONCLUSION: Patient-level data available in the EHRs can be used to implement process-ofcare dental eCRA and AoC, eAoC measures identify gaps in clinical practice. EHR-based measures can be useful in improving delivery of evidence-based preventative treatments to reduce risk, prevent tooth decay, and improve oral health.U.S. Department of Health and Human Services, National Institutes of Health, National Institute of Dental and Craniofacial Research.http://www.thieme.com/books-main/clinical-informatics/product/4433-aci-applied-clinical-informaticsDental Management Science

31st Annual Meeting and Associated Programs of the Society for Immunotherapy of Cancer (SITC 2016) : part two

Background The immunological escape of tumors represents one of the main ob- stacles to the treatment of malignancies. The blockade of PD-1 or CTLA-4 receptors represented a milestone in the history of immunotherapy. However, immune checkpoint inhibitors seem to be effective in specific cohorts of patients. It has been proposed that their efficacy relies on the presence of an immunological response. Thus, we hypothesized that disruption of the PD-L1/PD-1 axis would synergize with our oncolytic vaccine platform PeptiCRAd. Methods We used murine B16OVA in vivo tumor models and flow cytometry analysis to investigate the immunological background. Results First, we found that high-burden B16OVA tumors were refractory to combination immunotherapy. However, with a more aggressive schedule, tumors with a lower burden were more susceptible to the combination of PeptiCRAd and PD-L1 blockade. The therapy signifi- cantly increased the median survival of mice (Fig. 7). Interestingly, the reduced growth of contralaterally injected B16F10 cells sug- gested the presence of a long lasting immunological memory also against non-targeted antigens. Concerning the functional state of tumor infiltrating lymphocytes (TILs), we found that all the immune therapies would enhance the percentage of activated (PD-1pos TIM- 3neg) T lymphocytes and reduce the amount of exhausted (PD-1pos TIM-3pos) cells compared to placebo. As expected, we found that PeptiCRAd monotherapy could increase the number of antigen spe- cific CD8+ T cells compared to other treatments. However, only the combination with PD-L1 blockade could significantly increase the ra- tio between activated and exhausted pentamer positive cells (p= 0.0058), suggesting that by disrupting the PD-1/PD-L1 axis we could decrease the amount of dysfunctional antigen specific T cells. We ob- served that the anatomical location deeply influenced the state of CD4+ and CD8+ T lymphocytes. In fact, TIM-3 expression was in- creased by 2 fold on TILs compared to splenic and lymphoid T cells. In the CD8+ compartment, the expression of PD-1 on the surface seemed to be restricted to the tumor micro-environment, while CD4 + T cells had a high expression of PD-1 also in lymphoid organs. Interestingly, we found that the levels of PD-1 were significantly higher on CD8+ T cells than on CD4+ T cells into the tumor micro- environment (p < 0.0001). Conclusions In conclusion, we demonstrated that the efficacy of immune check- point inhibitors might be strongly enhanced by their combination with cancer vaccines. PeptiCRAd was able to increase the number of antigen-specific T cells and PD-L1 blockade prevented their exhaus- tion, resulting in long-lasting immunological memory and increased median survival

Tracking oral health in a standardized, evidence-based, prevention-focused dental care system.

OBJECTIVES: Learning health-care systems are foundational for measuring and achieving value in oral health care. This article describes the components of a preventive dental care program and the quality of care in a large dental accountable care organization. METHODS: A retrospective study design describes and evaluates the cross-sectional measures of process of care (PoC), appropriateness of care (AoC), and outcomes of care (OoC) extracted from the electronic health record (EHR), between 2014 and 2019. Annual and composite measures are derived from EHR-based clinical decision support for risk determination, diagnostic and treatment terminology, and decayed-missing-filled-teeth (DMFT) measures. RESULTS: Annually, 253,515 ± 27,850 patients were cared for with 618,084 ± 80,559 visits, 209,366 ± 22,300 exams, and 2,072,844 ± 300,363 clinical procedures. PoC metrics included provider adherence (98.3 percent) in completing caries risk assessments and patient receipt (96.9 percent) of a proactive dental care plan. AoC metrics included patients receiving prevention according to the risk-based protocol. The percent of patients at risk for caries receiving fluoride varnish was 95.4 ± 0.4 percent. OoC metrics included untreated decay and new decay. The 6-year average prevalence of untreated decay was 11.3 ± 0.3 percent, and average incidence of new decay was 13.6 ± 0.5 percent, increasing with risk level: low = 7.5 percent, medium = 18.8 percent, high = 29.4 percent, and extreme = 28.1 percent. CONCLUSIONS: The preventive dental care system demonstrates excellent provider adherence to the evidence-based prevention protocol, with measurably better dental outcomes by patient risk compared to national estimates. These achievements are enabled by a value-centric, accountable model of care and incentivized by a compensation model aligned with performance measures